Title: Object tracking and failure recovery in motion video sequences using the properties of HSV colour space

Authors: S. Saravanakumar; A. Vadivel; C.G. Saneem Ahmed

Addresses: Department of Computer Applications, National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, India ' Department of Computer Applications, National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, India ' Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, India

Abstract: We propose a novel technique for object tracking with failure detection and recovery mechanisms. Feature of target object is extracted from the properties of the HSV colour space. The target area is represented either as true colour or grey colour area and is tracked in subsequent frames based on feature. The failure is detected and recovered by both enlarge boundary and moving centre techniques. For evaluating the performance of the proposed method, benchmark data sets are used. The result obtained is compared with some of the recent approaches and found that the performance of the proposed approach is encouraging.

Keywords: HSV colour space; object tracking; failure detection; failure recovery; moving centre; enlarge boundary; motion video sequences; performance evaluation.

DOI: 10.1504/IJSISE.2012.046740

International Journal of Signal and Imaging Systems Engineering, 2012 Vol.5 No.1, pp.29 - 42

Received: 26 Aug 2010
Accepted: 01 Apr 2011
Published online: 31 Dec 2014 *

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