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A Hybrid Method for Object Identification and Event Detection in Video

Publication Type : Conference Proceedings

Publisher : National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)

Authors : Dr. Latha Parameswaran, K. K. P.

Campus : Coimbatore

School : School of Engineering

Department : Computer Science

Verified : Yes

Year : 2013

Abstract : Video event detection (VED) is a challenging task especially with a large variety of objects in the environment. Even though there exist numerous algorithms for event detection, most of them are unsuitable for a typical consumer purpose. A hybrid method for detecting and identifying the moving objects by their color and spatial information is presented in this paper. In tracking multiple moving objects, the system makes use of motion of changed regions. In this approach, first, the object detector will look for the existence of objects that have already been registered. Then the control is passed on to an event detector which will wait for an event to happen which can be object placement or object removal. The object detector becomes active only if any event is detected. Simple training procedure using a single color camera in HSV color space makes it a consumer application. The proposed model has proved to be robust in various indoor environments and different types of background scenes. The experimental results prove the feasibility of the proposed method.

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