AUTOMATIC FAST VIDEO OBJECT DETECTION AND TRACKING ON VIDEO SURVEILLANCE SYSTEM

Abstract
This paper describes the advance techniques for object detection and tracking in video. Most visual surveillance systems start with motion detection. Motion detection methods attempt to locate connected regions of pixels that represent the moving objects within the scene; different approaches include frame-to-frame difference, background subtraction and motion analysis. The motion detection can be achieved by Principle Component Analysis (PCA) and then separate an objects from background using background subtraction. The detected object can be segmented. Segmentation consists of two schemes: one for spatial segmentation and the other for temporal segmentation. Tracking approach can be done in each frame of detected Object. Pixel label problem can be alleviated by the MAP (Maximum a Posteriori) technique.

Authors
V. Arunachalam1, I. Sorimuthu2, V. Rajagopal3 and B. Sankaragomathi4
1,2Einstein College of Engineering, India,3Sri Vidya College of Engineering and Technology, India,4National Engineering College, India

Keywords
Background Subtraction, Object Tracking, Principle Component Analysis, Spatio-Temporal Segmentation, MAP
Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 3 , Issue: 1 )
Date of Publication :
August 2012

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