Title: A robust approach for background subtraction with shadow removal for moving object detection

Authors: Anand Singh Jalal; Vrijendra Singh

Addresses: GLA University, NH-2, Mathura-Delhi Highway, Mathura – 281 406 (U.P.) India ' Indian Institute of Information Technology, Allahabad – 211012, India

Abstract: Background subtraction is the primary step that can be applied in numerous applications, including object tracking, surveillance, robot vision, object-based coding, image database and video teleconferencing. However, background subtraction approaches are very sensitive to dynamic scene changes. This paper aims to investigate ways to exploit the characteristics of the wavelet domain to improve moving object segmentation using background subtraction for object tracking applications. In this paper, we also innovate by using a high frequency sub-band to neutralise the negative influences caused by cast shadow, without using any colour information. The state-of-the-art performance of the proposed approach is illustrated by using both indoor and outdoor video sequences.

Keywords: background subtraction; shadow removal; wavelet domain; moving object detection; moving objects; dynamic scene changes; image segmentation; object tracking; outdoor video sequences; indoor video sequences.

DOI: 10.1504/IJSISE.2013.054803

International Journal of Signal and Imaging Systems Engineering, 2013 Vol.6 No.3, pp.188 - 202

Received: 13 Apr 2011
Accepted: 12 Jan 2012
Published online: 13 Sep 2013 *

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