ANNOTATION SUPPORTED OCCLUDED OBJECT TRACKING

ICTACT Journal on Image and Video Processing ( Volume: 3 , Issue: 1 )

Abstract

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Tracking occluded objects at different depths has become as extremely important component of study for any video sequence having wide applications in object tracking, scene recognition, coding, editing the videos and mosaicking. The paper studies the ability of annotation to track the occluded object based on pyramids with variation in depth further establishing a threshold at which the ability of the system to track the occluded object fails. Image annotation is applied on 3 similar video sequences varying in depth. In the experiment, one bike occludes the other at a depth of 60cm, 80cm and 100cm respectively. Another experiment is performed on tracking humans with similar depth to authenticate the results. The paper also computes the frame by frame error incurred by the system, supported by detailed simulations. This system can be effectively used to analyze the error in motion tracking and further correcting the error leading to flawless tracking. This can be of great interest to computer scientists while designing surveillance systems etc.

Authors

Devinder Kumar1 and Amarjot Singh2
National Institute of Technology Warangal, India

Keywords

Image Annotation, Object Tracking, Depth, Occlusion, Contour

Published By
ICTACT
Published In
ICTACT Journal on Image and Video Processing
( Volume: 3 , Issue: 1 )
Date of Publication
August 2012
Pages
467-472

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