DocumentCode
2835175
Title
Unusual Event Detection without Tracking
Author
Wang, Zhen ; Ouyang, Ning ; Han, Chuanjiu
Author_Institution
Sch. of Inf. & Commun. Eng., Guilin Univ. of Electron. Technol., Guilin, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
3
Abstract
Automatic detection of an unusual event in video sequence has an interesting application in security surveillance. This paper proposed a method to detect a gathering event without tracking individuals by using background subtracted blobs as the event feature and dividing the video frame into blocks. The feature sequences are encoded with hidden Markov model to detect the gathering event. The experimental results show the effectiveness of the proposed approach.
Keywords
hidden Markov models; image sequences; object detection; security; surveillance; tracking; video signal processing; automatic detection; event detection; hidden Markov model; security surveillance; tracking; video sequence; Data mining; Event detection; Feature extraction; Hidden Markov models; Image motion analysis; Information security; Layout; Statistics; Surveillance; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5364381
Filename
5364381
Link To Document