Efficient method of moving shadow detection and vehicle classification

Authors:  Saroj K. Meher, M.N. Murty

Abstract: 
Moving shadow detectionandremovalfromthe extractedforegroundregions of video frames, aimto 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.

Keywords:
Moving shadow detection
Shadow removal
Segmentation
Vehicle classification
Principal axis analysis

Published in: AEÜ-International Journal of Electronics and Communications (Volume 67, Issue 8, August  2013)

Publisher: Elsevier

ISSN Information: 1434-8411

Efficient method of moving shadow detection and vehicle classification

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