Detecting unattended packages through human activity recognition and object association

Pattern Recognition

Volumn 40, Issue 8, 2007, Pages 2173-2184

  Lu, Sijun ^a,b   Zhang, Jian ^a,b   Dagan Feng, David ^b  

^a CSIRO   (Australia)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Eigen features; HMM; Human activity recognition; SVM; Unattended package

Indexed keywords

BEHAVIORAL RESEARCH; DECISION MAKING; EIGENVALUES AND EIGENFUNCTIONS; HIDDEN MARKOV MODELS; SUPPORT VECTOR MACHINES;

HUMAN ACTIVITY RECOGNITION; STATIC OBJECTS; UNATTENDED PACKAGE;

OBJECT RECOGNITION;

EID: 34147161578     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2006.12.013     Document Type: Article

References (18)

1. M. Spengle, B. Schile, Automatic detection and tracking of unattended objects, in: Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS'03), Nice, France, 2003.
2. Sacchi C., and Regazzoni C.S. A distributed surveillance system for detection of unattended objects in unmanned railway environments. IEEE Trans. Veh. Technol. 49 5 (2000)
3. Y. Tian, M. Lu, A. Hampapur, Robust and efficient foreground analysis for real-time video surveillance, in: IEEE International Conference on Computer Vision and Pattern Recognition, San Diego, 2005.
4. M. Beynon, D. Hook, M. Seibert, A. Peacock, Detecting unattended packages in a multi-camera video surveillance system, in: Proceedings of IEEEE Conference on Advanced Video and Signal Based Surveillance (AVSS'03), 2003, pp. 221-228.
5. S. Lu, J. Zhang, D. Feng, Classification of moving humans using eigen-features and support vector machines, in: International Conference on Computer Analysis of Images and Patterns (CAIP2005), France, September 2005.
6. R.T. Collins, A.J. Lipton, T. Kanade, H. Fujiyoshi, D. Duggins, Y. Tsin, D. Tolliver, N. Enomoto, O. Hasegawa, P. Burt, L. Wixson, A System for Video Surveillance and Monitoring, CMU-RI-TR-00-12, Carnegie Mellon University, 2000.
7. Durucan E., and Ebrahimi T. Change detection and background extraction by linear algebra, Statistical change detection. Proc. IEEE 89 10 (2001) 1368-1381
8. D. Toth, T. Aach, Detection and recognition of moving objects using statistical motion detection and Fourier descriptors, in: International Conference on Image Analysis and Processing, Mantova, Italy, 2003.
9. M.A. Turk, A.P. Pentland, Face recognition using eigenfaces, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, June 1991, pp. 586-591.
10. Scholkopf B., and Smola A.J. A Short Introduction to Learning with Kernels, Advanced Lectures on Machine Learning (2003), Springer, Berlin, Heidelberg
11. C. Chang, C. Lin, LIBSVM: a library for support vector machines, 〈http://www.csie.ntu.edu.tw/∼cjlin〉.
12. W. Hu, T. Tan, L. Wang, S. Mayback, A survey on visual surveillance of object motion and behaviors, IEEE Trans. Syst. Man Cybern. (2004) 334-352.
13. L. Marcenaro, M. Ferrari, L. Marchesotti, C.S. Regazzoni, Multiple object tracking under heavy occlusion by using Kalman filters based on shape matching, in: Proceedings of International Conference on Image Processing, vol. 3, 2002, pp. 341-344.
14. L.R. Rabiner, B.H. Juang, An introduction to hidden Markov models, IEEE ASSP Mag. (1986) 4-16.
15. J. Yamato, J. Ohya, K. Ishii, Recognizing human action in time-sequential images using hidden Markov model, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 1992, pp. 379-385.
16. Hill Jr. F.S. Computer Graphics Using OpenGL. second ed. (2001), Prentice-Hall, Englewood Cliffs, NJ
17. C. Stauffer, W. Grimson, Adaptive background mixture models for real-time tracking, in: Proceedings of IEEE Conference of Computer Vision and Pattern Recognition, vol. 2, 1999, pp. 246-252.
18. Isard M., and Blake A. CONDENSATION-Conditional density propagation for visual tracking. Int. J. Comput. Vision 29 1 (1998) 5-28