NDLI: Adaptive kernel-bandwidth object tracking based on Mean-shift algorithm

Content Provider	IEEE Xplore Digital Library
Author	Le Zhang Danhong Zhang Yixin Su Fei Long
Copyright Year	2013
Description	Author affiliation: Wuhan Univ. of Technol., Wuhan, China (Le Zhang; Danhong Zhang; Yixin Su) \|\| Wuhan Inst. of Marine Electr. Propulsion, Wuhan, China (Fei Long)
Abstract	With the wide application and development of Mean Shift algorithm, the shortages of the classical algorithm have been exposed. Among them, there is a defect that the kernel-bandwidth of the traditional object tracking algorithm based on Mean-Shift is fixed, which is very easy to cause the failure of the object tracking. To overcome this shortage, this paper puts forward an object tracking method that combines the canny operator with the Mean Shift algorithm. Firstly, this algorithm uses the canny edge detection to determine the change tendency of the object. Then proper ratio increment is used to adjust the Kernel-bandwidth of the Mean Shift. Finally, the object can be located accurately with appropriate kernel-bandwidth. The experimental results show that the improved algorithm can improves the tracking stability of the Mean Shift algorithm effectively when the size of the tracking object is changing and it is adaptive to the changing size of the tracking object.
Starting Page	413
Ending Page	416
File Size	1152399
Page Count	4
File Format	PDF
ISBN	9781467362481
e-ISBN	9781467362498
DOI	10.1109/ICICIP.2013.6568108
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Computer vision Filtering Image edge detection Search problems Object tracking 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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