NDLI: Visual tracking using learned color features

Content Provider	IEEE Xplore Digital Library
Author	Ting Liu Varior, R.R. Gang Wang
Copyright Year	2015
Description	Author affiliation: Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore (Ting Liu; Varior, R.R.; Gang Wang)
Abstract	Robust object tracking is a challenging task in computer vision. Color features have been popularly used in visual tracking. However, most conventional color-based trackers either rely on luminance information or use simple color representations for image description. During the tracking sequences, the perceived color of the target may change because of the varying lighting conditions. In this paper, we learn the color patterns offline from pixels sampled from images across different camera views. In the new color feature space, the proposed tracking method performs robustly in various environment. The new color feature space is learned by learning a linear transformation and a dictionary to encode pixel values. To speedup the feature extraction, we use the marginal regression to calculate the sparse feature codes. Experimental results demonstrate that significant improvement can be achieved by using our learned color features, especially on the video sequences with complicated lighting conditions.
Starting Page	1976
Ending Page	1980
File Size	4678820
Page Count	5
File Format	PDF
ISBN	9781467369978
DOI	10.1109/ICASSP.2015.7178316
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-19
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image color analysis Target tracking Visualization Encoding Lighting Robustness Computer vision feature learning Visual tracking color features marginal regression
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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