Efficient method of moving shadow detection and vehicle classification

Meher, Saroj K and Murty, MN (2013) Efficient method of moving shadow detection and vehicle classification. In: AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 67 (8). pp. 665-670.

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Abstract

Moving shadow detection and removal from the extracted foreground regions of video frames, aim to limit the risk of misconsideration of moving shadows as a part of moving objects. This operation thus enhances the rate of accuracy in detection and classification of moving objects. With a similar reasoning, the present paper proposes an efficient method for the discrimination of moving object and moving shadow regions in a video sequence, with no human intervention. Also, it requires less computational burden and works effectively under dynamic traffic road conditions on highways (with and without marking lines), street ways (with and without marking lines). Further, we have used scale-invariant feature transform-based features for the classification of moving vehicles (with and without shadow regions), which enhances the effectiveness of the proposed method. The potentiality of the method is tested with various data sets collected from different road traffic scenarios, and its superiority is compared with the existing methods. (C) 2013 Elsevier GmbH. All rights reserved.

Item Type:	Journal Article
Publication:	AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
Publisher:	ELSEVIER GMBH, URBAN & FISCHER VERLAG
Additional Information:	Copyright of this article is belongs ELSEVIER GMBH
Keywords:	Moving shadow detection; Shadow removal; Segmentation; Vehicle classification; Principal axis analysis
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	10 Sep 2013 04:57
Last Modified:	10 Sep 2013 04:57
URI:	http://eprints.iisc.ac.in/id/eprint/47081

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