NDLI: Video object detection using inter-frame correlation based background subtraction

Content Provider	IEEE Xplore Digital Library
Author	Rout, D.K. Puhan, S.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci. Eng., C.V. Raman Coll. of Eng., Bhubaneswar, India (Puhan, S.) \|\| Image Anal. & Comput. Vision Lab. Dept. of Electron. & Telecommun. Eng., C.V. Raman Coll. of Eng., Bhubaneswar, India (Rout, D.K.)
Abstract	In this paper the problem of video object detection under illumination variation is addressed. Many algorithms have been proposed to cope to this situation. But the major draw back in most of them is misclassified object and background area. Thereby object recognition and tracking process fails many a times due to failure of the detection algorithms. In our previous work we have proposed a supervised approach to increase the correct classification of the object and background regions. Although the results obtained were as per expectation but the model parameters estimation; such as the threshold selection process was manually done. In order to make it adaptive to the scene, we have proposed a classification algorithm which takes the histogram of correlation matrix into account and classify the object. The proposed algorithm computes the inter-plane correlation between three consecutive R, G and B planes by using a correlation function. The correlation matrix obtained is then used to construct a segmented image which gives a rough estimate of the object. The segmentation of the correlation plane is done by a threshold. This threshold selection is made adaptive to the video sequence considered. This segmented plane along with the moving edge image is then taken into consideration to improvise the correct classification of the moving object in the video. It is observed that the proposed algorithm yields quite manageable results in terms of correct classification.
Sponsorship	IEEE Kerala Sect.
Starting Page	167
Ending Page	171
File Size	1219634
Page Count	5
File Format	PDF
e-ISBN	9781479921782
DOI	10.1109/RAICS.2013.6745467
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-19
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Correlation Threshold selection Image color analysis Image edge detection Inter Frame Correlation Video sequences Background subtraction Lighting Object detection Illumination variation
Content Type	Text
Resource Type	Article

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