NDLI: Mean shift tracking combining SIFT

Content Provider	IEEE Xplore Digital Library
Author	Ai-hua Chen Ming Zhu Yan-hua Wang Chen Xue
Copyright Year	2008
Description	Author affiliation: Grad. Sch., Chinese Acad. of Sci., Beijing (Yan-hua Wang; Chen Xue) \|\| Changchun Inst. of Opt., Chinese Acad. of Sci., Changchun (Ai-hua Chen; Ming Zhu)
Abstract	A novel visual tracking algorithm to cope with occlusion and scale variation is proposed. This method combines mean shift and SIFT algorithm to track object. SIFT algorithm is invariant to rotation, translation and scale variation. But it is a time-consuming algorithm. The wasting time is related to image size. So the proposed algorithm first adopts mean shift to initially locate object position, then SIFT operator is used to detect features in object area and model area, lastly, the proposed method matches features in these two areas and calculates the relationship between them using affine transform. According to affine transform parameters, the state of object can be adjusted in time. In order to reduce process time, an improved feature matching algorithm is proposed in this paper. Experiments show that the proposed algorithm deals with occlusion successfully and can adjust object size in time.
Starting Page	1532
Ending Page	1535
File Size	616945
Page Count	4
File Format	PDF
ISBN	9781424421787
DOI	10.1109/ICOSP.2008.4697425
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision Object detection Noise robustness Lighting Optical distortion Physics Detection algorithms Computational efficiency Change detection algorithms Kernel
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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