Video multitracking of fish behaviour: A synthesis and future perspectives

Fish and Fisheries

Volumn 14, Issue 2, 2013, Pages 186-204

  Delcourt, Johann ^a   Denoël, Mathieu ^a   Ylieff, Marc ^a   Poncin, Pascal ^a  

^a UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

3D tracking; Ethometry; Fish tracking; Occlusion; Schools; Video multitracking

Indexed keywords

ANIMAL WELFARE; AQUATIC ENVIRONMENT; DETECTION METHOD; DIGITAL IMAGE; ECOTOXICOLOGY; ENVIRONMENTAL RESEARCH; ERROR ANALYSIS; IMAGE ANALYSIS; PERFORMANCE ASSESSMENT; PROBABILITY; SCHOOLING BEHAVIOR; TRACKING; VIDEOGRAPHY;

ANIMALIA;

EID: 84876301306     PISSN: 14672960     EISSN: 14672979     Source Type: Journal    
DOI: 10.1111/j.1467-2979.2012.00462.x     Document Type: Article

References (141)

1. Anderson, C. (2002) Self-organization in relation to several similar concepts: are the boundaries to self-organization indistinct?Biology Bulletin202, 247-255.
2. Aoki, I. (1982) A simulation study on the schooling mechanism in fish. Bulletin of the Japanese Society for the Science of Fish48, 1081-1088.
3. Aoki, I. (1984) Internal dynamics of fish schools in relation to inter-fish distance. Bulletin of the Japanese Society for the Science of Fish50, 751-758.
4. Aoki, I., Inagaki, T. and Long, L.V. (1986) Measurements of the three-dimensional structure of free-swimming pelagic fish schools in a natural environment. Bulletin of the Japanese Society of Fisheries Oceanography52, 2069-2077.
5. Axelsen, B.E., Anker-Nilssen, T., Fossum, P., Kvamme, C. and Nøttestad, L. (2001) Pretty patterns but a simple strategy: predator-prey interactions between juvenile herring and Atlantic puffins observed with multibeam sonar. Canadian Journal of Zoology79, 1586-1596.
6. Ballerini, M., Cabibbo, N., Candelier, R. et al. (2008) Interaction ruling animal collective behavior depends on topological rather than metric distance: evidence from a field study. Proceedings of the National Academy of Sciences USA105, 1232-1237.
7. Baraban, S.C., Taylor, M.R., Castro, P.A. and Baier, H. (2005) Pentylenetetrazole induced changes in zebrafish behavior, neural activity and C-fos expression. Neuroscience131, 759-768.
8. Becco, C., Vandewalle, N., Delcourt, J. and Poncin, P. (2006) Experimental evidences of a structural and dynamical transition in fish school. Physica A365, 487-493.
9. Bisazza, A., Piffer, L., Serena, G. and Agrillo, C. (2010) Ontogeny of numerical abilities in fish. PLoS ONE5(11), e15516.
10. Blake, R.W. (1983) Functional design and burst-and-coast swimming in fishes. Canadian Journal of Zoology61, 2491-2494.
11. Blaser, R.E., Chadwick, L. and Mcginnis, G.C. (2010) Behavioral measures of anxiety in zebrafish (Danio rerio). Behavioural Brain Research208, 56-62.
12. Boal, J.G. and Gonzalez, A. (1998) The social behaviour of individual oval squids (Cephalopoda, Teurhoidea, Loliginidae, Sepioteuthis lessoniana) within a captive school. Ethology104, 161-178.
13. Bogomolov, Y., Dror, G., Lapchev, S., Rivlin, E. and Rudzsky, M. (2003) Classification of moving targets based on motion and appearance. In: British Machine Vision Conference 03, 2003.
14. Branson, K. and Belongie, S. (2005) Tracking multiple mouse contours (without too many samples). In: IEEE Conference on Computer Vision (CVPR), vol. 1, pp. 1039-1046.
15. Breder, C.M. (1954) Equations descriptive of fish schools and other animal aggregations. Ecology35, 361-370.
16. Brown, C. and Laland, K.N. (2003) Social learning in fishes: a review. Fish and Fisheries4, 280-288.
17. Buma, M.O.S., Moskal, J., Thomas, G. and Jongbloed, S. (1996) Automatic video tracking of multiple animals without the need for marking. Paper presented at Measuring Behavior'96, 1st International Conference on Methods and Techniques in Behavioral Research. Utrecht, The Netherlands.
18. Buma, M.O.S., Moskal, J. and Liang, D. (1998) Ethovision Multipro: improved animal identification during automatic multiobject tracking. Paper presented at Measuring Behavior'98, 2nd International Conference on Methods and Techniques in Behavioral Research. Groningen, The Netherlands.
19. Butail, S. and Paley, D.A. (2010) 3D reconstruction of fish schooling kinematics from underwater video. In: Proc. IEEE Int. Conf. on Robotics and Automation, pp. 2438-2443, Anchorage, Alaska, May 2010.
20. Cachat, J., Stewart, A. and Grossman, L. et al. (2010) Measuring behavioral and endocrine responses to novelty stress in adult zebrafish. Nature Protocols5, 1786-1799.
21. Camazine, S., Deneubourg, J.L., Franks, N.R., Sneyd, J., Theraulaz, G. and Bonadeau, E. (2001) Self-Organization in Biological Systems. Princeton studies in complexity. Princeton University Press, Princeton, NJ.
22. Canonge, S., Sempo, G., Jeanson, R., Detrain, C. and Deneubourg, J.L. (2009) Self-amplification as a source of interindividual variability: shelter selection in cockroaches. Journal of Insect Physiology55, 976-982.
23. Cavagna, A., Cimarelli, A., Giardina, I. et al. (2010) Scale-free correlations in starling flocks. Proceedings of the National Academy of Science USA107, 11865-11870.
24. Conradt, L. and Roper, T.J. (2003) Group decision-making in animals. Nature421, 155-158.
25. Corell, N., Sempo, G., de menses, Y.L. et al. (2006) SwisTrack: a tracking tool for multi-unit robotic and biological systems. In: 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2185-2191.
26. Couzin, I. and Krause, J. (2003) Self-organization and collective behavior in vertebrates. Advances in the Study of Behavior32, 1-75.
27. Couzin, I.D., Krause, J., James, R., Ruxton, G.D. and Franks, N.R. (2002) Collective memory and spatial sorting in animal groups. Journal of Theoretical Biology218, 1-11.
28. Couzin, I.D., Krause, J., Franks, N.R. and Levin, S.A. (2005) Effective leadership and decision-making in animal groups on the move. Nature433, 513-516.
29. Cullen, J.M., Shaw, E. and Baldwin, H.A. (1965) Methods for measuring the three-dimensional structure of fish schools. Animal Behaviour13, 534-545.
30. Czirók, A. and Vicsek, T. (2006) "Collective behavior of interacting self-propelled particles". Physica A281, 17-29.
31. Delcourt, J. (2008) Structure et ontogenése des comportements de banc chez deux poissons Cichlidés: approche quantitative par l'utilisation du vidéotracking automatisé chez Oreochromis niloticus et Pelvicachromis pulcher, PhD thesis, Université de Liège, Belgique. 333 p. [in french].
32. ®2.3 system and a new computerized multi-tracking prototype system to measure the swimming behavior in fry fish. Behavior Research Methods38, 704-710.
33. Delcourt, J., Becco, C., Vandewalle, N. and Poncin, P. (2008) Advantages and limits of a video multitracking system for quantification of individual behavior in a large fish shoal. In: Proceedings in Measuring Behavior 2008 (Maastricht, The Netherlands, August 26-29, 2008). (eds A.J. Spink, M.R. Ballintijn, N.D. Bogers, F. Grieco, L.W.S. Loijens, L.P.P.J. Noldus, G. Smit and P.H. Zimmerman ), pp. 294-295.
34. Delcourt, J., Becco, C., Vandewalle, N. and Poncin, P. (2009) A video multitracking system for quantification of individual behavior in a large fish shoal: advantages and limits. Behavior Research Methods41, 228-235.
35. Delcourt, J., Ylieff, M., Bolliet, V., Poncin, P. and Bardonnet, A. (2011) Videotracking in the extreme: new possibility for tracking nocturnal underwater transparent animals with fluorescent elastomer tags. Behavior Research Methods43, 590-600.
36. Denoël, M., Ficetola, G.F., Delcourt, J., Ylieff, M., Kestemont, P. and Poncin, P. (2010) Cumulative effects of road de-icing salt on amphibian behavior. Aquatic Toxicology99, 275-280.
37. Dewsburry, D.A. (1999) The proximate and the ultimate: past, present, and future. Behavioural Processes46, 189-199.
38. Eddins, D., Cerutti, D., Williams, P., Linney, E. and Levin, E.D. (2010) Zebrafish provide a sensitive model of persisting neurobehavioural effects of developmental chlorpyrifos exposure: comparison with nicotine and pilocarpine effects and relationship to dopamine deficits. Neurotoxicology and Teratology32, 99-108.
39. Egan, R.J., Bergner, C.L., Hart, P.C. et al. (2009) Understanding behavioral and physiological phenotypes of stress and anxiety in zebrafish. Behavioural Brain Research205, 38-44.
40. Egerstedt, M., Balch, T., Dellaert, F., Delmotte, F. and Khan, Z. (2005) What are the ants doing? Vision-based tracking and reconstruction of control programs. IEEE Conference on Robotics and Automation, Barcelona, Spain, April 2005.
41. Evans, S.R., Finnie, M. and Manica, A. (2007) Shoaling preferences in decapod crustacean. Animal Behaviour74, 1691-1696.
42. Fontaine, E., Lentink, D., Kranenbarg, S. et al. (2008) Automated visual tracking for studying the ontogeny of zebrafish swimming. Journal of Experimental Biology211, 1305-1316.
43. Fukuda, H., Torisawa, S., Sawada, Y. and Takagi, T. (2010) Ontogenetic changes in schooling behaviour during larval and early juvenile stages of Pacific bluefin tuna Thunnus orientalis. Journal of Fish Biology76, 1841-1847.
44. Gabriel, P.F., Verly, J.G., Piater, J.H. and Genon, A. (2003) Electrical engineering the state of art in multiple object tracking under occlusion in video sequences. Advanced Concepts for Intelligent Vision Systems2003, 166-173.
45. Gerlai, R. (2003) Zebra fish: an uncharted behaviour genetic model. Behavior Genetics33, 461-468.
46. Godin, J.-G. and Morgan, M.J. (1985) Predator avoidance and school size in a cyprinodontid fish, the banded killifish (Fundulus diaphanous Lesueur). Behavioural Ecology and Sociology16, 105-110.
47. Graves, J. (1977) Photographic method for measuring spacing and density within pelagic fish schools at sea. US Fishery Bulletin75, 230-234.
48. Grégoire, G. and Chaté, H. (2004) La forme des groupements animaux. Pour la Science (hors série), July-September 2004. [in French]
49. Grünbaum, D. (2003) Tracker 3D Movement Analysis Software. User's guide. University of Washington, Seattle, USA.
50. Guo, S. (2004) Linked genes to brain, behaviour and neurobiological diseases: what can we learn from zebrafish?Genes Brain and Behavior3, 63-74.
51. Halloy, J., Sempo, G., Caprari, G. et al. (2007) Social integration of robots into groups of cockroaches to control self-organized choices. Science318, 1155-1158.
52. Hansen, L.A., Skajaa, K. and Damsgard, B. (2008) Measuring aggression and threat-sensitive behavior in cod differing in size and nutritional state. In: Proceedings in Measuring Behavior 2008 (Maastricht, The Netherlands, August 26-29, 2008). (eds A.J. Spink, M.R. Ballintijn, N.D. Bogers, F. Grieco, L.W.S. Loijens, L.P.P.J. Noldus, G. Smit and P.H. Zimmerman ), pp. 169.
53. Hemelrijk, C.K. and Kunz, H. (2005) Density distribution and size sorting in fish schools: an individual-based model. Behavioral Ecology16, 178-187.
54. Hemelrijk, C.K., Hildenbrandt, H., Reinders, J. and Stamhuis, E.J. (2010) Emergence of oblong school shape: models and empirical data of fish. Ethology116, 1099-1112.
55. Herbert-Read, J.E., Perna, A., Mann, R.P., Schaerf, T.M., Sumpter, D.J.T. and Ward, A.J.W. (2011) Inferring the rules of interaction of shoaling fish. Proceedings of the National Academy of Sciences USA108, 18726-18731.
56. d'Heursel, A. and Haddad, C.F.B. (2002) Schooling and swimming behaviors of Hyla semilineata tadpoles (Anura, Hylidae). Iheringia, Séria Zoologia, Porto alegre92, 99-104.
57. Hill, A.J., Teraoka, H., Heidemann, W. and Peterson, R.E. (2005) Zebrafish as model vertebrate for investigating chemical toxicity. Toxicological Sciences86, 6-19.
58. Hoare, D.J. and Krause, J. (2003) Social organisation, shoal structure and information transfer. Fish and Fisheries4, 269-279.
59. Hoare, D.J., Ward, J.W., Couzin, I.D., Croft, D.P. and Krause, J. (2001) A grid-net for the analysis of fish positions within free-ranging shoals. Journal of Fish Biology59, 1667-1672.
60. Hobson, P.R., Lampitt, R.S., Rogerson, A., Watson, J., Fang, X. and Krantz, E.P. (2000) Three-dimensional spatial coordinates of individual plankton determined using underwater hologrammetry. Limnology and Oceanography, 45, 1167-1174.
61. Hölldobbler, B. and Wilson, E.O. (2008) The Super-Organism: The Beauty, Elegance, and Strangeness of Insect Societies. Ed. W.W. Norton & Company, New York-London, p. 576.
62. Hughes, N.F. and Kelly, L.H. (1996) New techniques for 3-D video tracking of swimming movements in still or flowing water. Canadian Journal of Fisheries and Aquatic Sciences53, 2473-2483.
63. Hunter, J.R. (1966) Procedure for analysis of schooling behavior. Journal of the Fisheries Research Board Canada23, 547-562.
64. Ikawa, T., Okabe, H., Mori, T., Urabe, K. and Ikesshoji, T. (1994) A method for reconstructing the three-dimensional positions of swarming mosquitoes. Journal of Insect Behavior7, 237-248.
65. Isard, M. and Blake, A. (1996) Contour tracking by stochastic propagation of conditional density. In: European Conference on Computer Vision (ECCV), pp. 343-356.
66. Isard, M. and MacCormick, J. (2001) BraMBLe: a Bayesian multiple-blob tracker. In: International Conference on Computer Vision (ICCV), pp. 34-41.
67. Jadot, C., Donnay, A., Ylieff, M.Y. and Poncin, P. (2005) Impact implantation of a transmitter on Sarpa salpa behaviour: study with a computerized video tracking system. Journal of Fish Biology67, 589-595.
68. Jakka, N.M., Rao, T.G. and Rao, J.V. (2007) Locomotor behavioral response of mosquitofish (Gambusia affinis) to subacute mercury stress monitored by video tracking system. Drug and Chemical Toxicology30, 383-397.
69. Kanen, A.S., Salierno, J.D. and Brewer, S.K. (2005) Fish models in behavioral toxicology: automated techniques, updates and perspectives. In: Methods in Aquatic Toxicology, vol.2 (ed. G.K. Ostrander ). Lewis Publishers, Boca Raton, FL, pp. 559-590.
70. Kato, S., Nakagawa, T., Ohkama, M. et al. (2004) A computer image processing system for quantification of zebrafish behaviour. Journal of Neuroscience Methods134, 1-7.
71. Katz, Y., Tunstrøm, K., Ioannou, C.C., Huepe, C. and Couzin, I.D. (2011) Inferring the structure and dynamics of interactions in schooling fish. Proceedings of the National Academy of Sciences USA108, 18720-18725.
72. Keenleyside, M.H.A. (1955) Aspects of schooling behaviour in fish. Behaviour8, 83-248.
73. Keenleyside, M.H.A. (1991) Parental care. In: Cichlid Fishes: Behaviour, Ecology and Evolution. Fish and Fisheries series 2 (ed. M.H.A. Keenleyside ). Chapman & Hall, London, pp. 191-208.
74. Khan, Z., Balch, T. and Dellaert, F. (2005) MCMC-based particle filtering for tracking a variable number of interacting targets. IEEE Transactions on Pattern Analysis and Machine Intelligence27, 1805-1918.
75. Khan, Z., Balch, T. and Dellaert, F. (2006) MCMC data association and sparse factorization updating for real time multitarget tracking with merged and multiple measurements. IEEE Transactions on Pattern Analysis and Machine Intelligence28, 1960-1972.
76. Klimley, A.P. (1985) Schooling in Sphyrna lewini, a species with low risk of predation: a non-egalitarian state. Zeitschrift für Tierpsychologie70, 297-319.
77. Krause, J., Hoare, D., Krause, S., Hemelrijk, C.K. and Rubenstein, D.I. (2000a) Leadership in fish shoals. Fish and Fisheries1, 82-89.
78. Krause, J., Hoare, D., Croft, D. et al. (2000b) The shoal composition: mechanisms and constraints. Proceedings of the Royal Society of London B267, 2011-2017.
79. Laurel, B.J., Laurel, C.J., Brown, J.A. and Gregory, R.S. (2005) A new technique to gather 3-D spatial information using a single camera. Journal of Fish Biology, 66, 429-441.
80. Lawler, G.F. (1996) Introduction to Stochastic Process. Probability Series. Chapman & Hall, New York.
81. Leblond, C. and Reebs, S. (2006) Individual leadership and boldness in shoals of golden shiners (Notemigonus crysoleucas). Behaviour143, 1263-1280.
82. Lipton, A.J., Fujiyoshi, H. and Patil, R.S. (1998) Moving target classification and tracking from real-time video. In: IEEE Workshop on Applications of Computer Vision (WACV), Princeton, NJ, pp. 8-14, October 1998.
83. MacCormick, J. and Blake, A. (1999) A probabilistic exclusion principle for tracking multiple objects. In: International Conference on Computer Vision (ICCV), pp. 572-578.
84. Maggio, E. and Cavallaro, A. (2011) Video Tracking: Theory and Practice. Wiley, Chischester, West Sussex, UK. p. 292.
85. Malkiel, E., Abras, J.N., Widder, E.A. and Katz, J. (2006) On the spatial distribution and the nearest neighbour distance between particles in the water column determined from in situ holographic measurements. Journal of Plankton Research28, 149-170.
86. Marshall, A. (2002) The Unity of Nature. Imperial College Press, London.
87. Masuda, R. and Tsukamoto, K. (1999) School formation and concurrent developmental changes in carangid fish with reference to dietary conditions. Environmental Biology f Fishes56, 243-252.
88. Masuda, R., Shoji, J., Nakayama, S. and Tanaka, M. (2003) Development of schooling behavior in Spanish mackerel Scomberomorus niphonius during early ontogeny. Fisheries Science69, 772-776.
89. Mathis, A. and Chivers, D.P. (2003) Overriding the oddity effect in mixed-species aggregations: group choice by armored and nonarmored prey. Behavioral Ecology14, 334-339.
90. Mathur, P., Berberoglu, M.A. and Guo, S. (2010) Preference for ethanol in zebrafish following a single exposure. Behavioural Brain Research217, 128-133.
91. Miller, N.Y. and Gerlai, R. (2007) Quantification of shoaling behaviour in zebrafish (Danio rerio). Behavioural Brain Research184, 157-166.
92. Miller, N.Y. and Gerlai, R. (2008) Oscillations in shoal cohesion in zebrafish (Danio rerio). Behavioural Brain Research193, 148-151.
93. Nauen, J.C. and Lauder, G.V. (2002) Hydrodynamics of caudal fin locomotion by chub mackerel, Scomber japonicus (Scombridae). The Journal of Experimental Biology205, 1709-1724.
94. Navarro-Jover, J.M., Alcaniz, M., Gomez, V. et al. (2009) An automatic colour-based computer vision algorithm for tracking the position of piglets. Spanish Journal of agricultural Research7, 535-549.
95. Newlands, N.K. and Porcelli, T.A. (2008) Measuring of the size, shape and structure of Atlantic bluefin tuna schools in the open ocean. Fisheries Research91, 42-55.
96. Noldus, L.P.J.J., Spink, A.J. and Tegelenbosch, R.A.J. (2001) EthoVision: a versatile video tracking system for automation of behavioural experiments. Behavior Research Methods, Instruments, & Computers33, 398-414.
97. Orger, M.B., Gahtan, E., Muto, A., Page-McCaw, P., Smear, M.C. and Baier, H. (2004) Behavioral screening assays in zebrafish. Methods Cell Biology77, 53-68.
98. Paramo, J., Gerlotto, F. and Oyarzun, C. (2010) Three dimensional structure and morphology of pelagic fish schools Issue. Journal of Applied Ichthyology26, 853-860.
99. Parrish, J.K., Viscido, S.V. and Graübaum, D. (2002) Self-organized fish schools: an examination of emergent properties. Biological Bulletin202, 296-305.
100. Partridge, B.L., Pitcher, T., Cullen, J.M. and Wilson, J. (1980) The three-dimensional structure of fish schools. Behavioral Ecology and Sociobiology6, 277-288.
101. Pereira, P. and Oliveira, R.F. (1994) A simple method using a single video camera to determine the three-dimensional position of a fish. Behavior Research Methods, Instruments, & Computers26, 443-446.
102. Peuhkuri, N., Ranta, E. and Seppä, P. (1997) Size-assortative schooling in free-ranging sticklebacks. Ethology103, 318-324.
103. Pinhasov, A., Crooke, J., Rosenthal, D., Brennema, D. and Malatynska, E. (2005) Reduction of submissive behaviour model for antidepressant drug activity testing: study using a video-tracking system. Behavioural Pharmacology8, 657-664.
104. Pitcher, T.J. (1973) The three dimensional structure of schools in the minnow, Phoxinus phoxinus (L.). Animal Behaviour21, 673-686.
105. Pitcher, T.J. (1975) A periscopic method for determining the three dimensional positions of fish in schools. Journal of the Fisheries Research Board Canada32, 1533-1538.
106. Pitcher, T.J. (1983) Heuristic definitions of fish shoaling behavior. Animal Behaviour31, 611-613.
107. Pitcher, T.J. and Parrish, J.K. (1993) Functions of shoaling behaviour in teleost fishes. In: The Behaviour of Teleost Fishes (ed T.J. Pitcher ), 2nd edn. Croom Helm, London & Sydney, pp. 364-439.
108. Pitcher, T.J. and Partridge, B.L. (1979) Fish school density and volume. Marine Biology54, 383-394.
109. Pitcher, T.J. and Wyche, C.J. (1983) Predator and prey in fishes Predator-avoidance behaviors of sand-eel schools: why schools seldom split. In: Predators and Prey in Fishes (eds D.L.G. Noakes, D.G. Lindquist, G.S. Helfman and J.A. Ward ). Dr. W Junk, The Hague, pp. 193-204.
110. Pritchard, V.L., Lawrence, J., Butlin, R.K. and Krause, J. (2001) Shoal choice in zebrafish (Danio rerio): the influence of shoal size and activity. Animal Behaviour62, 1085-1088.
111. Prober, D.A., Rihel, J., Onah, J.A.A., Sung, R.-J. and Schier, A.F. (2006) Hypocretin/Orexin Overexpression Induces An Insomnia-Like Phenotype in Zebrafish. Journal of Neuroscience26, 13400-13410.
112. Rasmussen, C. and Hager, G.D. (2001) Probabilistic data association methods for tracking complex visual objects. IEEE Transactions onPattern Analysis and Machine Intelligence23, 560-576.
113. Reebs, S.G. (2001) Influence of body size on leadership in shoals of Golden Shiners, Notemigonus crysoleucas. Behaviour138, 797-809.
114. Reynolds, C.W. (1987) Flocks, herds, and schools: a distributed behavioral model. Computer Graphics, 21(4), 25-34.
115. Rubinstein, A.L. (2006) Zebrafish assays for drug toxicity screening. Expert Opinion on Drug Metabolism & Toxicology2, 231-240.
116. Salierno, J.D., Gipson, E.G.T. and Kane, E.A.S. (2008) Quantitative movement analysis of social behavior in mummichog. Fundulus heteroclitus. Journal of Ethology26, 35-42.
117. Sanchez, O. and Dibos, F. (2004) Displacement following of hidden objects in a video sequence. International Journal of Computer Vision57(2), 91-105.
118. Sfakiotakis, M., Lane, D.M. and Davies, J.B.C. (1999) Review of fish swimming modes for aquatic locomotion. IEEE Journal of Oceanic Engineering24(2), 237-252.
119. Shaw, E. (1978) Schooling fishes. American Scientist66, 166-175.
120. Sheng, J., Malkiel, E., Katz, J., Adolf, J., Belas, R. and Place, A.R. (2007) Digital holographic microscopy reveals prey-induced changes in swimming behavior of predatory dinoflagellates. Proceedings of the Natural Academy of Sciences USA104, 17512-17517.
121. Sigal, L., Bathia, S., Roth, S., Black, M.J. and Isard, M. (2004) Tracking loose-limbed people. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 421-428.
122. Silverman, J.L., Yang, M., Lord, C. and Crawley, J.N. (2010) Behavioural phenotyping assays for mouse models of autism. Nature Reviews Neuroscience11, 490-502.
123. Singh, R., Pittas, M., Heskia, I., Fengyun, X., McKerrow, J. and Caffrey, C.R. (2009) Automated image-based phenotypic screening for high-throughput drug discovery. Computer-based Medical Systems, 2009, CBMS 2009, 22nd IEEE International Symposium on Computer, pp. 1-8.
124. Speedie, N. and Gerlai, R. (2008) Alarm substance induced behavioral responses in zebrafish (Danio rerio). Behavioural Brain Research188, 168-177.
125. Suzuki, K., Tsumonu, T. and Hiraishi, T. (2003) Video analysis of fish schooling behavior in finite space using a mathematical model. Fisheries Research60, 3-10.
126. Tinbergen, N. (1963) On aims and methods of ethology. Zeitschift für Tierpsychologie20, 410-433.
127. Treherne, J.E. and Foster, W.A. (1981) Group transmission of predator avoidance in a marine insect: the Trafalgar effect. Animal Behaviour62, 617-621.
128. Viscido, S.V., Parrish, J.K. and Grünbaum, D. (2004) Individual behaviour and emergent properties of fish schools: a comparison of observation and theory. Marine Ecology Progress Series273, 239-249.
129. Ward, A.J.W., Axford, S. and Krause, J. (2002a) Mixed-species shoaling in fish: the sensory mechanisms and costs of shoal choice. Behavioural Ecology and Sociobiology52, 182-187.
130. Ward, A.J.W., Hoare, D.J., Couzin, I.D., Broom, M. and Krause, J. (2002b) The effects of parasitism and body length on positioning within fish shoals. Journal of Animal Ecology71, 10-14.
131. Ward, A.J.W., Axford, S. & Krause, J. (2003) Cross-species familiarity in shoaling fishes. Proceedings of the Royal Society of London B 270, 1157-1161.
132. Weihs, D. (1973) Hydromechanics of fish schooling. Nature241, 290-291.
133. Weihs, D. and Webb, P.W. (1983) Optimalization of locomotion. In: Fish Biomechanics (eds P.W. Webb and D. Weihs ). Praeger, New York, pp. 339-371.
134. Wilga, C.D. and Launder, G.V. (2002) Function of the heterocercal tail in sharks: quantitative wake dynamics during steady horizontal swimming and vertical maneuvering. The Journal of experimental Biology205, 2365-2374.
135. Winandy, L. and Denoël, M. (2011) The use of visual and automatized behavioral markers to assess methodologies: a study case on PIT-tagging in the Alpine newt. Behavior Research Methods43, 568-576.
136. Wright, D. and Krause, J. (2006) Repeated measures of shoaling tendency in Zebrafish (Danio rerio) and other small teleost fishes. Nature Protocols4, 1828-1831.
137. Ying, F. (2004) Visual Ants Tracking. Department of Computer Science, Faculty of Engineering, University of Bristol, University of Bristol, Bristol, UK.
138. Ylieff, M.Y. (2002) Validation et exploitation de nouvelles techniques d'imagerie numérique pour la caractérisation des profils comportementaux chez les poissons: Etude de l'influence de facteurs abiotiques et biotiques chez Symphodus ocellatus (Forsskål, 1775) et Chromis chromis Linné, 1758, Labridé et Pomacentridé méditerranéens. PhD thesis, Université de Liège, 169p. [in French]
139. Ylieff, M.Y. and Poncin, P. (2003) Quantifying spontaneous swimming activity in fish with a computerized color video tracking system, a laboratory device using last imaging techniques. Fish Physiology & Biochemistry28, 281-282.
140. Zhao, T. and Nevatia, R. (2004) Tracking multiple humans in crowded environment. In: IEEE Conference on Computer Vision and pattern recognition (CVPR).
141. Zhu, L. and Weng, W. (2007) Catadioptric stereo-vision system for the real-time monitoring of 3D behavior in aquatic animals. Physiology and Behavior91, 106-119.