Hybrid Approach for Moving Object Detection in Video Surveillance System
Abstract
Object tracking detection plays a vital role in video
surveillance system. It is mainly focused in banks, tele
conferencing, shopping and traffic monitor system. Object
tracking is the process of detecting objects which is moving in
sequences frames of a video, to detect the moving objects,
different techniques are used such as background subtraction,
optical flow, GMM(Gaussian Mixture Model). The main
objective of the proposed work is to detect the moving objects
with less complexity and accuracy using frame differencing
method. First background subtraction is detected using recursive
technique. Then noises are removed by wiener filter and YCbCr
Color space for foreground object. In order to obtain accurate
detection, shape based image retrieval technique is used. Finally
the experimental results show that this method can reduce
complexity and generate accurate image without any noises.
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