A system for automatic and interactive detection of static objects

2011 IEEE Workshop on Person-Oriented Vision, POV 2011

Volumn , Issue , 2011, Pages 27-32

  Evangelio, Rubén Heras ^a   Pätzold, Michael ^a   Sikora, Thomas ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED SURVEILLANCE SYSTEM; BACKGROUND MODEL; BACKGROUND SUBTRACTION; DATA SETS; EXPERT KNOWLEDGE; FINITE STATE MACHINES; HUMAN OPERATOR; INTERACTIVE SYSTEM; STATE MACHINE; STATIC OBJECTS; SURVEILLANCE APPLICATIONS; USER INPUT; USER INTERACTION;

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EID: 79952568245     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/POV.2011.5712365     Document Type: Conference Paper

References (9)

1. Á. Bayona, J. C. SanMiguel, and J. M. Martínez. Comparative evaluation of stationary foreground object detection algorithms based on background subtraction techniques. In Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, pages 25-30, 2009.
2. S. Guler, J. Silverstein, and I. Pushee. Stationary objects in multiple object tracking. In Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, pages 248-253, sept. 2007.
3. P. Kaewtrakulpong and R. Bowden. An improved adaptive background mixture model for realtime tracking with shadow detection. In Proceedings of the 2nd European Workshop on Advanced Video Based Surveillance Systems. Kluwer Academic Publishers, September 2001.
4. F. Porikli, Y. Ivanov, and T. Haga. Robust abandoned object detection using dual foregrounds. EURASIP J. Adv. Signal Process, 2008:30, 2008.
5. A. Singh, S. Sawan, M. Hanmandlu, V. Madasu, and B. Lovell. An abandoned object detection system based on dual background segmentation. In Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, pages 352-357, sept. 2009.
6. C. Stauffer and W. Grimson. Adaptive background mixture models for real-time tracking. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, volume 2, pages 246-252, Fort Collins, CO, USA, Jun 1999.
7. Y. Tian, R. S. Feris, and A. Hampapur. Real-time detection of abandoned and removed objects in complex environments. In Proceedings of the IEEE International Workshop on Visual Surveillance, Marseille, France, 2008.
8. P. Venetianer, Z. Zhang, W. Yin, and A. Lipton. Stationary target detection using the objectvideo surveillance system. In Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, pages 242-247, sept. 2007.
9. Zivkovic and van der Heijden. Efficient adaptive density estimation per image pixel for the task of background subtraction. Pattern Recognition Letters, 27:773-780, 2006. (Pubitemid 43374860)