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Surveillance Video Summarization System based on Multi-person Tracking Status
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 Title & Authors
Surveillance Video Summarization System based on Multi-person Tracking Status
Yoo, Ju Hee; Lee, Kyoung Mi;
Surveillance cameras have been installed in many places because security and safety has become an important issue in modern society. However, watching surveillance videos and judging accidental situations is very labor-intensive and time-consuming. So now, requests for research to automatically analyze the surveillance videos is growing. In this paper, we propose a surveillance system to track multiple persons in videos and to summarize the videos based on tracking information. The proposed surveillance summarization system applies an adaptive illumination correction, subtracts the background, detects multiple persons, tracks the persons, and saves their tracking information in a database. The tracking information includes tracking one's path, their movement status, length of staying time at the location, enterance/exit times, and so on. The movement status is classified into six statuses(Enter, Stay, Slow, Normal, Fast, and Exit). This proposed summarization system provides a person's status as a graph in time and space and helps to quickly determine the status of the tracked person.
person tracking;surveillance video;video summarization system;background subtraction;
 Cited by
P. Banerjee and S. Sengupta, "Human motion detection and tracking for video surveillance," Proc. of the National Conference on Communication, pp. 88-92, 2008.

H. Patel and M. Wankhade, "Human tracking in video surveillance," Advances in Computing and Information Technology, pp. 749-756, 2012.

J. Han, T. Tan, L. Chen, and D. Zhang, "Moving objects representation for object based surveillance video retrieval system," International Journal of Security and Its Applications, Vol. 8, No. 2, pp. 315-322, 2014.

G. Shu, A. Dehghan, O. Oreifej, E. Hand, and M. Shah, "Part-based multiple-person tracking with partial occlusion handling," Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1815-1821, 2012.

B. Cancela, M. Ortega, and M. G. Penedo, "Multiple human tracking system for unpredictable trajectories," Machine Vision and Applications, Vol. 25, No. 2, pp. 511-527, 2014. crossref(new window)

W. Choi and S. Savarese, "Multiple target tracking in world coordinate with single, minimally calibrated camera," Proc. of the European Conference on Computer Vision, pp. 553-567, 2010.

H. Xuan, F. Croquer, and W. Zeng, "Surveillance video retrieval based on moving objects detection," Journal of Multimedia, Vol. 8, No. 6, pp. 762-769, 2013.

H. Kwon and K. Lee, "Activity-based key-frame detection and video summarization in a wide-area surveillance system," Journal of Korean Society for Internet Information, Vol. 9, No. 3, pp. 169-178, 2008. (in Korean)

K. Lee, "Tracking multi-person robust to illumination changes and occlusions," Proc. of the 14th International Conference on Artificial Reality and Telexistence, pp. 429-432, 2004.