Hybrid tracking based on color histogram for intelligent space

Artificial Life and Robotics

Volumn 11, Issue 2, 2007, Pages 204-210

  Morioka, Kazuyuki ^a   Lee, Joo Ho ^b   Kuroda, Yoichi ^c   Hashimoto, Hideki ^c  

^a MEIJI UNIVERSITY   (Japan)

^b RITSUMEIKAN UNIVERSITY   (Japan)

^c UNIVERSITY OF TOKYO   (Japan)

Author keywords

Color histogram; Hybrid tracking; Intelligent space; Kalman filter

Indexed keywords

ALGORITHMS; FEEDBACK; INTELLIGENT NETWORKS; KALMAN FILTERS; MATHEMATICAL MODELS; ROBUSTNESS (CONTROL SYSTEMS); STATISTICS; TRACKING (POSITION); WIDE AREA NETWORKS;

COLOR HISTOGRAM; HYBRID TRACKING; INTELLIGENT SPACE; VISION SENSOR NETWORK;

SENSOR NETWORKS;

EID: 34547938133     PISSN: 14335298     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10015-007-0429-9     Document Type: Article

References (17)

1. Brooks RA (1997) The intelligent room project. Proceedings of the 2nd International Cognitive Technology Conference (CT'97), Aizu, Japan, August 1997, IEEE Computer Society, p 271
2. Sato T, Harada T, Mori T (2004) Environment-type robot system "robotic room" featured by behavior media, behavior contents, and behavior adaptation. IEEE/ASME Trans Mechatronics, 9:529-534
3. Brumitt B, Meyers B, et al. (2000) Easyliving: Technologies for intelligent environments. Proceedings of the International Symposium on Handheld and Ubiquitous Computing, September 2000, Springer Verlag, Bristol, UK, pp 12-29
4. MacDorman KF, Nobuta H, Ikeda T, et al. (2004) A memory-based distributed vision system that employs a form of attention to recognize group activity at a subway station. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp 571-576, Sendai, Japan, IEEE
5. JH Lee H Hashimoto 2002 Intelligent space: Concept and contents Adv Robotics 16 265-280 10.1163/156855302760121936
6. Appenzeller G, Lee JH, Hashimoto H (1997) Building topological maps by looking at people: An example of cooperation between intelligent space and robots. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'97), 1997 pp 1326-1333, Grenoble, France, IEEE
7. Lee JH, Yamaguchi T, Hashimoto H (2000) Human comprehension in intelligent space. IFAC Conference on Mechatronic Systems, IFAC, Darmstadt, Germany, pp 1091-1096
8. Morioka K, Lee JH, Hashimoto H (2002) Human-centered robotics in intelligent space. IEEE International Conference on Robotics and Automation (ICRA'02), Washington DC, May 2002, IEEE, pp 2010-2015
9. JH Lee K Morioka N Ando 2004 Cooperation of distributed intelligent sensors in intelligent environment IEEE/ASME Trans Mechatronics 9 535-543 10.1109/TMECH.2004.834655
10. D Comaniciu V Ramesh P Meer 2003 Kernel-based object tracking IEEE Trans Pattern Anal Machine Intell 25 564-577 10.1109/TPAMI.2003.1195991
11. Nummiaro K, Koller-Meier EB, Van Gool L (2002) A color-based particle filter. 1st International Workshop on Generative-Model-Based Vision GMBV'02 in ECCV'02, Copenhagen, Denmark, pp 53-60, http://www.diku.dk/ ~aecp/GMBV/gmbv02.html
12. Comaniciu D, Ramesh V (2000) Mean shift and optimal prediction for efficient object tracking. IEEE International Conference on Image Processing (ICIP'00), vol 3, pp 70-73, Vancouver, Canada, IEEE
13. MJ Swain DH Ballard 1991 Color indexing Int J Comput Vision 7 11-32 10.1007/BF00130487
14. H Jeffereys 1946 An invariant form for the prior probability in estimation problems Proc R Soc London Ser A 186 453-461
15. M Werman S Peleg A Rosenfeld 1985 A distance metric for multi-dimensional histograms Comput Vision Graphics Image Process 32 328-336 10.1016/0734-189X(85)90055-6
16. Rubner Y, Tomasi C, Guibas LJ (1998) Metric for distributions with applications to image databases. Proceedings of the 1998 IEEE International Conference on Computer Vision, Bombay, India, IEEE
17. Point Grey Research Inc. Flea http://www.ptgrey.com/products/flea/ index.asp