Selective motion detection by Genetic Programming

2011 IEEE Congress of Evolutionary Computation, CEC 2011

Volumn , Issue , 2011, Pages 496-503

  Shi, Qiao ^a   Song, Andy ^a  

^a RMIT UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

MOTION DETECTION; MOVING OBJECTS; MOVING TARGETS; VISION SYSTEMS;

COMPUTER VISION; GENETIC ALGORITHMS;

GENETIC PROGRAMMING;

EID: 80052016902     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2011.5949659     Document Type: Conference Paper

References (15)

1. I. Haritaoglu, D. Harwood, and L. S. Davis. W4: Real-time surveillance of people and their activities. IEEE transactions on Pattern Analysis and Machine Intelligence, 22(8):809-830, AUGUST 2000.
2. D. Howard, S. C. Roberts, and C. Ryan. Pragmatic genetic programming strategy for the problem of vehicle detection in airbourne reconnaissance. Evolutionary Computer Vision and Image Understanding, 27(11):1161-1306, 2006.
3. J. R. Koza. Genetic Programming: On the Programming of Computers by Means of Natural Selection. Bradford Books, 1992.
4. A. J. Lipton, H. Fujiyoshi, and R. S. Patil. Moving target classification and tracking from real-time video. Fourth IEEE Workshop on Applications of Computer Vision WACV'98, pages 8-14, 1998.
5. T. Loveard and V. Ciesielski. Representing classification problems in genetic programming. Congress on Evolutionary Computation, 2:1070-1077, August 2001. (Pubitemid 32806258)
6. G. Ogawa, K. Kise, T. Torii, and T. Nagao. Onboard evolutionary risk recognition system for automobiles mdash; toward the risk map system. Industrial Electronics, IEEE Transaction on, 54(2):878-886, APRIL 2007. (Pubitemid 46591010)
7. B. Pinto and A. Song. Detecting motion from noisy scenes using genetic programming. In IVCNZ 2009: Proceedings of 24th International Conference on Image and Vision Computing New Zealand, pages 322-327. IEEE, 2009.
8. B. Pinto and A. Song. Motion detection in complex environments by genetic programming. In GECCO'09: Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference, pages 2125-2130. ACM, 2009.
9. R. Poli. Genetic programming for feature detection and image segmentation. Technical report, The University of Birmingham, School of Computer Science, The University of Birmingham, Edgbaston, Birmingham B 15 2TT, UK, 2000. R. Poli@cs. bham. ac. uk.
10. Y. Ren, C.-S. Chua, and Y.-K. HO. Motion detection with nonstationary background. 11th International Conference on Image Analysis and Processing, pages 78-83, 2001.
11. A. Song and D. Fang. Robust method of detecting moving objects in videos evolved by genetic programming. GECCO08, July 2008.
12. A. Song and B. Pinto. Study of gp representations for motion detection with unstable background. In IEEE Congress on Evolutionary Computation, pages 1-8, 2010.
13. C. Stauffer and W. E. L. Grimson. Learning patterns of activity using real-time tracking. IEEE transactions on Pattern Analysis and Machine Intelligence, 22(8):747-757, AUGUST 2000.
14. L. Trujillo and G. Olague. Automated design of image operators that detect interest points. Evolutionary Computation, 16(4):483-507, 2008.
15. M. Zhang, V. B. Ciesielski, and P. Andreae. A domain independent window approach to multiclass object detection using genetic programming. EURASIP Journal on Applied Signal Processing, (8):841-859, 2003.