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Anomaly Detection in Surveillance Video using Color Modeling

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 45 - Number 14
Year of Publication: 2012
M. Gangadharappa
Pooja Goel
Rajiv Kapoor

M Gangadharappa, Pooja Goel and Rajiv Kapoor. Article: Anomaly Detection in Surveillance Video using Color Modeling. International Journal of Computer Applications 45(14):1-6, May 2012. Full text available. BibTeX

	author = {M. Gangadharappa and Pooja Goel and Rajiv Kapoor},
	title = {Article: Anomaly Detection in Surveillance Video using Color Modeling},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {45},
	number = {14},
	pages = {1-6},
	month = {May},
	note = {Full text available}


The primary goal of this paper propose an algorithm for automatic detection of abnormal events in video surveillance scenarios. We specifically focus our attention on the event of object dropping in public places such as railway stations and airports etc. We look into how to distinguish events in surveillance video, and further what is a remarkable event. Analyzing surveillance data, without the knowledge of when and where or even if an interesting event has occurred which often takes place, is very time consuming labour. In this kind of analysis we are interested in extraordinary events, something that deviates from the normal.


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