Paper
19 March 2013 Joint histogram between color and local extrema patterns for object tracking
Subrahmanyam Murala, Q.M. Jonathan Wu, R. Balasubramanian, R.P. Maheshwari
Author Affiliations +
Proceedings Volume 8663, Video Surveillance and Transportation Imaging Applications; 86630T (2013) https://doi.org/10.1117/12.2002185
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States
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) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Subrahmanyam Murala, Q.M. Jonathan Wu, R. Balasubramanian, and R.P. Maheshwari "Joint histogram between color and local extrema patterns for object tracking", Proc. SPIE 8663, Video Surveillance and Transportation Imaging Applications, 86630T (19 March 2013); https://doi.org/10.1117/12.2002185
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Cited by 18 scholarly publications.
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KEYWORDS
Video

Detection and tracking algorithms

Binary data

RGB color model

Image classification

Feature extraction

Spatial resolution

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