Surveillance and human-computer interaction applications of self-growing models

Applied Soft Computing Journal

Volumn 11, Issue 7, 2011, Pages 4413-4431

  García Rodríguez, José ^a   García Chamizo, Juan Manuel ^a  

^a UNIVERSITY OF ALICANTE   (Spain)

Author keywords

Growing Neural Gas; Human computer interaction; Self growing models; Surveillance systems; Topology preservation

Indexed keywords

GROWING NEURAL GAS; HUMAN-COMPUTER; SELF-GROWING MODELS; SURVEILLANCE SYSTEMS; TOPOLOGY PRESERVATION;

COMPUTER ARCHITECTURE; DEFORMATION; DIGITAL DEVICES; KNOWLEDGE MANAGEMENT; MONITORING; REAL TIME SYSTEMS; RHENIUM COMPOUNDS; SECURITY SYSTEMS; TARGET TRACKING; TOPOLOGY;

HUMAN COMPUTER INTERACTION;

EID: 79960565717     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2011.02.007     Document Type: Article

References (79)

1. E. Andre, G. Herzog, and T. Rist On the simultaneous interpretation of real world image sequences and their natural language description: the system soccer Proceedings of the European Conference on Artificial Intelligence Munich 1988 449 454
2. A.A. Argyros, and M.I.-A. Lourakis Real-time tracking of multiple skin-coloured objects with a possibly moving camera Proceedings of the European Conference on Computer Vision 2004 368 379
3. M.S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp A tutorial on particle filters for online nonlinear/non Gaussian Bayesian tracking IEEE Transactions on Signal Processing 50 2 2002 174 188.s
4. H.J. Boehme, A. Brakensiek, U.D. Braumann, M. Krabbes, A. Corradini, and H.M. Gross Neural networks for gesture-based remote control of a mobile robot Proceedings of the IEEE World Congress on Computational Intelligence, vol. 1 Anchorage 1998 372 377
5. L. Bougrain, and F. Alexandre Unsupervised connectionist clustering algorithms for a better supervised prediction: application to a radio communication problem Proceedings of the International Join Conference on Neural Networks, vol. 28 Washington 1999 381 391
6. M. Brand, and V. Kettnaker Discovery and segmentation of activities in video IEEE Transactions on Pattern Analysis and Machine Intelligence 22 8 2000 844 851
7. F. Brémond, and M. Thonnat Tracking multiple nonrigid objects in video sequences IEEE Transactions on Circuits and Systems for Video Technology 8 5 1998 585 591 (Pubitemid 128743725)
8. E. Brookner Tracking and Kalman Filtering Made Easy 1998 John Wiley & Sons
9. X. Cao, and P.N. Suganthan Video shot motion characterization based on hierarchical overlapped growing neural gas networks Multimedia Systems 9 2003 378 385
10. C. Cédras, and M. Shah Motion-based recognition: a survey Image and Vision Computing 13 2 1995 129 155
11. D. Chen, M.Y. Chen, H.D. Wactlar, C. Gao, and A. Bharucha Video measurement of resident-on-resident physical aggression in nursing homes. ACM Workshop on Vision Networks for Behavior Analysis 2008 pp. 61-68
12. G. Cheng, and A. Zell Externally growing cell structures for pattern classification Proceedings of the ICSC Symposia on Neural Computation Berlin 2000 233 239
13. G. Cheng, and A. Zell Double growing neural gas for disease diagnosis Proceedings of Artificial Neural Networks in Medicine and Biology Conference (ANNIMAB-1) 2000 309 314
14. H.D. Cheng, X.H. Jiang, Y. Sun, and J. Wang Colour image segmentation: advances and prospects Pattern Recognition 34 2000 2259 2281
15. T. Collins, A.J. Lipton, and T. Kanade A system for video surveillance and monitoring: VSAM final report, Technical Report CMU-RI-TR-00-12 2000 Robotics Institute, Carnegie Mellon University
16. T. Collins, A.J. Lipton, and T. Kanade Introduction to the special section on video surveillance IEEE Transactions on Pattern Analysis and Machine Intelligence 22 2000 745 746
17. Z. Cselényi Mapping the dimensionality, density and topology of data: the growing adaptive neural gas Computer Methods and Programs in Biomedicine 78 2005 141 156 (Pubitemid 40558733)
18. R.L do Rêgo, A.F. Araújo, and F.B. de Lima Neto Growing self-organising maps for surface reconstruction from unstructured point clouds Proceeding of IEEE International Joint Conference on Artificial Neural Networks IJCNN 2007 1900 1905
19. M.P. Dubbuison, and A.K. Jain A modified Hausdorff distance for object matching Proceedings of the International Conference on Pattern Recognition Jerusalem, Israel 1994 566 568
20. M.D. Fairchild Colour Appearance Models 1998 Addison Wesley
21. R.B. Fisher PETS04 surveillance ground truth data set Proc. Sixth IEEE Int. Work. on Performance Evaluation of Tracking and Surveillance 2004 1 5
22. F. Flórez, J.M. García, J. García, and A. Hernández Representation of 2D objects with a topology preserving network Proceedings of the 2nd International Workshop on Pattern Recognition in Information Systems Alicante 2002 267 276
23. F. Flórez, J.M. García, J. García, and A. Hernández Hand gesture recognition following the dynamics of a topology-preserving network Proc. of the 5th IEEE Intern. Conference on Automatic Face and Gesture Recognition Washington, DC 2002 318 323
24. B. Fritzke Growing cell structures - a self-organising network for unsupervised and supervised learning, Technical Report TR-93-026 1993 International Computer Science Institute Berkeley, California
25. B. Fritzke A growing neural gas network learns topologies G. Tesauro, D.S. Touretzky y, T.K. Leen, Advances in Neural Information Processing Systems vol. 7 1995 MIT Press Cambridge, MA
26. B. Fritzke A self-organizing network that can follow non-stationary distributions Proceedings of the 7th International Conference on Artificial Neural Networks 1997 613 618 (Pubitemid 127140302)
27. H. Frezza-Buet Following non-stationary distributions by controlling the vector quantization accuracy of a growing neural gas network Neurocomputing 71 7-9 2008 1191 1202
28. J. García-Rodríguez, F. Flórez-Revuelta, and J.M. García-Chamizo Growing neural gas for vision tasks with time restrictions Proceeding of the International Conference on Artificial Neural Networks, vol. 2 Athens (Greece) 2006 578 586
29. J. García-Rodríguez, F. Flórez-Revuelta, and J.M. García-Chamizo Image compression using growing neural gas Proceedings of International Joint Conference on Artificial Neural Networks Orlando, USA 2007 366 370
30. J. García-Rodríguez, F. Flórez-Revuelta, and J.M. García-Chamizo Learning topologic maps with growing neural gas Lecture Notes in Artificial Intelligence 4693 2 2007 468 476
31. D. Greenhill, P. Remagnino, and G.A. Jones VIGILANT: content-querying of video surveillance streams Video Based Surveillance Systems - Computer Vision and Distributed Processing 2002 Kluwer Academic Publishers 193 204
32. H. Haritaoglu, D. Harwood, and L.S. Davis W4: Who? When? Where? What? A real time system for detecting and tracking people Proceedings of the International Conference on Automatic Face and Gesture Recognition 1998 222 227
33. M. Han, W. Xu, H. Tao, and Y. Gong An algorithm for multiple object trajectory tracking Proceedings of IEEE Computer Vision and Pattern Recognition Conference 2004
34. Y. Holdstein, and A. Fischer Three-dimensional surface reconstruction using Meshing Growing Neural Gas (MGNG) Visual Computation 24 2008 295 302
35. R.J. Howarth, and H. Buxton Conceptual descriptions from monitoring and watching image sequences Image and Vision Computing 18 9 2000 105 135 (Pubitemid 30526184)
36. R.J. Howarth, and B. Hilary An analogical representation of space and time Image and Vision Computing 10 7 1992 467 478
37. W. Hu, D. Xie, and T.A. Tan A hierarchical self-organizing approach for learning the patterns of motion trajectories IEEE Transactions on Neural Networks 15 1 2004 135 144
38. W. Hu, T. Tan, L. Wang, and S. Maybank A survey on visual surveillance of object motion behaviors IEEE Transactions on Systems, Man and Cybernetics 34 3 2004 334 352
39. Y. Huang, and I. Essa Tracking multiple objects trough occlusions Proceedings IEEE Conference on Computer Vision and Pattern Recognition 2005
40. C. Hue, J.C. Le Cadre, and P. Pérez Tracking multiple objects with particle filtering IEEE Transactions on Aerospace and Electronic Systems 38 3 2002 791 812 (Pubitemid 35377497)
41. S. Ji, and W. Park Image segmentation of colour image based on region coherency Proc. International Conference on Image Processing 1998 80 83
42. S.J. Julier, and J.K. Uhlmann Unscented filtering and non linear estimation Proceedings of the IEEE 92 3 2004 401 422 (Pubitemid 40890750)
43. L. Khoudour, J.P. Deparis, J.L. Bruyelle, F. Caestaing, D. Aubert, S. Bouchafa, S.A. Velastin, M.A. Vincencio-Silva, and M. Wherett Project CROMATICA ICIAP 2 1997 757 764 (Pubitemid 127125056)
44. D. Kim, and D. Kim A novel fitting algorithm using the ICP and the particle filters for robust 3d human body motion tracking. ACM Workshop on Vision Networks for Behavior Analysis 2008 pp. 69-76
45. T. Kohonen Self-organising Maps 2001 Springer-Verlag Berlin/Heidelberg
46. A.J. Lipton, H. Fujioshi, and R.S. Patil Moving target classification and tracking from real-time video Proc. IEEE Workshop Applications of Computer Vision 1998 8 14
47. P.J. Lisboa, B. Edisbury, and A. Vellido Business Applications of Neural Networks: The State-of-the-Art of Real-world Applications 2000 World Scientific
48. J.G. Lou, H. Yang, W.M. Hu, and T.N. Tan An illumination invariant change detection algorithm Asian Conf. Computer Vision 2002 13 18
49. J.G. Lou, H. Yang, W.M. Hu, and T.N. Tan Visual vehicle tracking using an improved EKF Asian Conf. Computer Vision 2002 296 301
50. L. Lucchese, and S.K. Mitra Colour image segmentation: a state-of-the-art survey Proceedings of the Indian National Science Academy 67 2 2001 207 221
51. S. Marsland, U. Nehmzow, and J. Shapiro A real-time novelty detector for a mobile robot EUREL Advanced Robotics Conference Salford 2000
52. T. Martinetz Competitive Hebbian learning rule forms perfectly topology preserving maps Proceedings of ICANN 1993
53. T. Martinetz, S.G. Berkovich, and K.J. Schulten "Neural-Gas" network for vector quantization and its application to time-series prediction IEEE Transactions on Neural Networks 4 4 1993 558 569
54. T. Martinetz, and K. Schulten Topology representing networks Neural Networks 7 3 1994 507 522
55. S. McKenna, Y. Raja, and S. Gong Colour model selection and adaptation in dynamic scenes European Conference on Computer Vision 1998
56. T. Ogura, K. Iwasaki, and C. Sato Topology representing network enables highly accurate classification of protein images taken by cryo electron-microscope without masking Journal of Structural Biology 143 2003 185 200 (Pubitemid 37297859)
57. T. Olson, and F. Brill Moving object detection and event recognition algorithms for smart cameras Proc. DARPA Image Understanding Workshop 1997 159 175
58. V. Papadourakis, and A. Argyros Multiple objects tracking in the presence of long-term occlusions Computer Vision and Image Understanding 2010 10.1016/j.cviu.2010.02.003
59. A.K. Qin, and P.N. Suganthan Robust growing neural gas algorithm with application in cluster analysis Neural Networks 17 2004 1135 1148 (Pubitemid 39539533)
60. C. Rehtanz, and C. Leder Stability assessment of electric power systems using growing neural gas and self-organising maps Proceedings of ESSAN 2000 401 406
61. H. Ragheb, S.A. Velastin, P. Remagnino, and T. Ellis ViHASi: virtual human action silhouette data for the performance evaluation of silhouette-based action recognition methods. ACM Workshop on Vision Networks for Behavior Analysis 2008 pp. 77-84
62. S. Rao, N.C. Pramod, and C.K. Paturu People detection in image and video data. ACM Workshop on Vision Networks for Behavior Analysis 2008 pp. 85-92
63. B. Ristic, S. Arulampalam, and N. Gordon Beyond the Kalman Filter. Particle Filters for Tracking Applications 2004 Artech House
64. K. Schaefer, M. Haag, W. Theilmann, and H. Nagel Integration of image sequence evaluation and fuzzy metric temporal logic programming C. Habel, G. Brewka, B. Nebel, KI-97: Advances in Artificial Intelligence, Lecture Notes in Computer Science, vol. 1303 1997 Springer New York 301 312 (Pubitemid 127120135)
65. N.T. Siebel, ADVISOR design and implementation of people tracking algorithms for visual surveillance applications. Design and implementation of people tracking algorithms for visual surveillance applications, PhD thesis, Department of Computer Science, The University of Reading, Reading, UK, 2003.
66. M. Sonka, V. Hlavac, and R. Boyle Image Processing, Analysis and Machine Vision 2nd edition 1998 Brooks/Cole Publishing Company
67. E. Stergiopoulou, N. Papamarkos, and A. Atsalakis Hand Gesture Recognition Via a New Self-organized Neural Network 2005 CIARP, LNCS 3773 pp. 891-904
68. J. Sullivan, and S. Carlsson Tracking and labelling of interacting multiple targets Proceedings of the European Conference of Computer Vision 2006 Springer, LNCS 3953, no. 3 619 632 (Pubitemid 44029710)
69. Y. Tian, T.N. Tan, and H.Z. Sun A novel robust algorithm for real-time object tracking Chinese Journal of Automation 28 5 2002 851 853
70. Y. Tian, L.M.G. Brown, A. Hampapur, M. Lu, A.W. Senior, and C. Shu IBM smart surveillance system (S3): event based video surveillance system with an open and extensible framework Machine Vision and Applications 19 5-6 2008 315 327
71. D. Tweed, and J.M. Ferryman Enhancing change detection in low-quality surveillance footage using Markov random fields. ACM Workshop on Vision Networks for Behaviour Analysis 2008 pp. 23-30
72. S.A. Velastin, B.A. Boghossian, B.P.L. Lo, J. Sun, and M.A. Vicencio-Silva PRISMATICA: toward ambient intelligence in public transport environments IEEE Transactions on Systems, Man, and Cybernetics, Part A 35 1 2005 164 182 (Pubitemid 40099540)
73. X. Wang, K. Tieu, and E. Grimson Learning semantic scene models by trajectory analysis. MIT CSAIL Technical Report 2006
74. J. Wang, Y. Makihara, and Y. Yagi People tracking and segmentation using spatiotemporal shape constraints. ACM Workshop on Vision Networks for Behavior Analysis 2008 pp. 31-38
75. G. Welch, G. Bishop, An introduction to the Kalman filter, ACM SIGGRAPH, Course 8. Available from: http://www.cs.unc.edu/∼welch/kalman/, 2001.
76. C. Wren, A. Azarbayejani, T. Darell, and A. Pentland Pfinder: real-time tracking of the human body IEEE Transactions on Pattern Analysis and Machine Intelligence 19 7 1997 780 785 (Pubitemid 127762271)
77. Y. Wu, Q. Liu, and T.S. Huang An adaptive self-organising colour segmentation algorithm with application to robust real-time human hand localization Proceedings of the IEEE Asian Conference on Computer Vision Taiwan 2000 1106 1111
78. H. Yang, J.G. Lou, H.Z. Sun, W.M. Hu, and T.N. Tan Efficient and robust vehicle localization IEEE Int. Conf. Image Processing 2001 355 358 (Pubitemid 33057714)
79. Z. Zhang Le problme de la mise en correspondance: L'état de l'art. Rapport de recherche no 2146 1993 Institut National de Recherche en Informatique et en Automatique