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Proceedings Paper

Joint histogram between color and local extrema patterns for object tracking
Author(s): Subrahmanyam Murala; Q.M. Jonathan Wu; R. Balasubramanian; R.P. Maheshwari
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Paper Abstract

In this paper, a new algorithm meant for object tracking application is proposed using local extrema patterns (LEP) and color features. The standard local binary pattern (LBP) encodes the relationship between reference pixel and its surrounding neighbors by comparing gray level values. The proposed method differs from the existing LBP in a manner that it extracts the edge information based on local extrema between center pixel and its neighbors in an image. Further, the joint histogram between RGB color channels and LEP patterns has been build which is used as a feature vector in object tracking. The performance of the proposed method is compared with Ning et al. on three benchmark video sequences. The results after being investigated proposed method show a significant improvement in object tracking application as compared to Ning et al.

Paper Details

Date Published: 19 March 2013
PDF: 7 pages
Proc. SPIE 8663, Video Surveillance and Transportation Imaging Applications, 86630T (19 March 2013); doi: 10.1117/12.2002185
Show Author Affiliations
Subrahmanyam Murala, Univ. of Windsor (Canada)
Q.M. Jonathan Wu, Univ. of Windsor (Canada)
R. Balasubramanian, Indian Institute of Technology Roorkee (India)
R.P. Maheshwari, Indian Institute of Technology Roorkee (India)


Published in SPIE Proceedings Vol. 8663:
Video Surveillance and Transportation Imaging Applications
Robert Paul Loce; Eli Saber, Editor(s)

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