Call For Paper Volume:4 Issue:10 Oct'2017 |

Suspicious Group Event Detection for Outdoor Environment

Publication Date : 30/04/2015



Author(s) :

Pooja N S.


Volume/Issue :
Volume 2
,
Issue 4
(04 - 2015)



Abstract :

The Objective of this paper is to detect suspicious group events in video streams, most popular and challenging task in the Computer vision. To address this problem we proposed a method based on the image descriptor and classification approach. The method starts by optical flow computation followed by HOFO descriptor generation. This method can be evaluated using image descriptor with publically available dataset. HOFO descriptor is used as features to detect the suspicious moving queues .Support vector machine (SVM) is used for the classification approach. We apply this method on several Benchmark Dataset to detect suspicious event. The proposed method gives the promising results with the good accuracy.


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Suspicious Group Event Detection for Outdoor Environment

April 30, 2015