Thesis / Dissertation

Crowd behavior analysis using video analytics

Aravinda Sridhara Rao, Marimuthu Palaniswami (ed.)

Published : 2015

Abstract

Crowd analysis is a critical problem in understanding crowd behavior for surveillance applications. The current practice is manually scanning video feeds from several sources. Video analytics allows the automatic detection of events of interest, but it faces many challenges because of non-rigid crowd motions and occlusions. The algorithms developed for rigid objects are ineffectual in managing crowds. This study describes the optical flow-based video analytics for crowd analysis and applications include people counting, density estimation, event detection, and abnormal event detection. There are two main approaches to detecting objects in a video. First, the background modeling approach mod..

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