Human tracking by ip ptz camera control in the context of video surveillance

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5627 LNCS, Issue , 2009, Pages 657-667

  Varcheie, Parisa Darvish Zadeh ^a   Bilodeau, Guillaume Alexandre ^a  

^a ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

Author keywords

Feature based; Fuzzy tracking; IP PTZ camera; Low frame rate tracking; People tracking

Indexed keywords

FEATURE-BASED; FUZZY TRACKING; IP PTZ CAMERA; LOW FRAME RATE TRACKING; PEOPLE TRACKING;

CAMERAS; IMAGE ANALYSIS; INTERNET PROTOCOLS; SECURITY SYSTEMS; TARGETS;

TARGET TRACKING;

EID: 70350237014     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02611-9_65     Document Type: Conference Paper

References (15)

1. An, K.H., Yoo, D.H., Jung, S.U., Chung, M.J.: Robust multi-view face tracking. In: IEEE Int. Conf. on Intelligent Robots and Systems, RSJ (2005)
2. Leichter, I., Lindenbaum, M., Rivlin, E.: Bittracker - a bitmap tracker for visual tracking under very general conditions. IEEE T-PAMI 30(9), 1572-1588 (2008)
3. Roha, M., Kima, T., Park, J., Lee, S.: Accurate object contour tracking based on boundary edge selection. Pattern Recognition 40(3), 931-943 (2007)
4. Elder, J.H., Prince, S., Hou, Y., Sizintsev, M., Olevsky, E.: Pre-attentive and attentive detection of humans in wide-field scenes. International Journal of Computer Vision 72(1), 47-66 (2007)
5. Bernardin, K., Camp, F., Stiefelhagen, R.: Automatic person detection and tracking using fuzzy controlled active cameras. In: IEEE Conf. on Computer Vision and Pattern Recognition, CVPR (2007)
6. Li, Y., Ai, H., Yamashita, T., Lao, S., Kawade, M.: Tracking in low frame rate video: a cascade particle filter with discriminative observers of different life spans. IEEE T-PAMI 30(10), 1728-1740 (2008)
7. Kang, S., Paik, J., Koschan, A., Abidi, B., Abidi, M.: Real-time video tracking using ptz cameras. In: 6th Int. Conf. on Quality Control by Artificial Vision (2003)
8. Wikipedia: Von luschan's chromatic scale - wikipedia, the free encyclopedia (2008), http://en.wikipedia.org/w/index.php?title=Von- Luschanle&oldid=249213206 (online accessed November 20, 2008)
9. Bellotto, N., Huosheng, H.: People tracking and identification with a mobile robot. In: IEEE Int. Conf. on Mechatronics and Automation, ICMA (2007)
10. Kakumanu, P., Makrogiannis, S., Bourbakis, N.: A survey of skin-color modeling and detection methods. Pattern Recognition 40(3), 1106-1122 (2007)
11. Cha, S.H., Srihari, S.N.: On measuring the distance between histograms. Pattern Recognition 35(6), 1355-1370 (2002)
12. Boufama, B., Ali, M.: Tracking multiple people in the context of video surveillance. In: Int. Conf. on Image Analysis and Recognition, ICIAR (2007)
13. Sony corporation: Snc-rz25n/p cgi command manual, version 1.0 (2005)
14. Viola, P., Jones, J.: Robust real-time face detection. International Journal of Computer Vision 57(2), 137-154 (2004)
15. Yin, F., Makris, D., Velastin, S.: Perforamnce evaluation of object tracking algorithms. In: IEEE Int. Workshop on Performance Evaluation of Tracking and Surveillance, PETS (2007)