|Title:||Joint histogram between color and local extrema patterns for object tracking|
Jonathan Wu Q.M.
|Published in:||Proceedings of SPIE - The International Society for Optical Engineering|
|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. © 2013 SPIE-IS&T.|
|Citation:||Proceedings of SPIE - The International Society for Optical Engineering, (2013). Burlingame, CA|
Local binary patterns (LBP)
|Author Scopus IDs:||26639647100|
|Author Affiliations:||Murala, S., Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada|
Jonathan Wu, Q.M., Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada
Balasubramanian, R., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India
Maheshwari, R.P., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India
|Corresponding Author:||Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada|
|Appears in Collections:||Conference Publications [EE]|
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