NDLI: Video object tracing based on particle filter with ant colony optimization

Content Provider	IEEE Xplore Digital Library
Author	Zhou Hao Xuejie Zhang Pengfei Yu Haiyan Li
Copyright Year	2010
Description	Author affiliation: Information School of Yunnan University, Kunming China (Zhou Hao; Xuejie Zhang; Pengfei Yu; Haiyan Li)
Abstract	Classical particle filter needs large numbers of samples to properly approximate the posterior density of the state evolution. Furthermore, sample impoverishment is an inevitable problem, which is a key issue in the performance of a particle filter. In this paper, a particle filtering algorithm based on ant colony optimization (ACO) was proposed to enhance the performance of particle filter with small sample set. ACO algorithm optimized the sample set before re-sampling step. Target state estimation was computed according to the optimized samples. Ant colony algorithm can effectively eliminate particle degeneration and enhance its robustness. Experiment results demonstrate that the proposed algorithm effectively improved the efficiency of video object tracking system.
Starting Page	232
Ending Page	236
File Size	1189331
Page Count	5
File Format	PDF
ISBN	9781424458455
e-ISBN	9781424458486
DOI	10.1109/ICACC.2010.5486857
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ant colony optimization Target tracking video tracking particle filter Monte Carlo methods Bayesian methods Working environment noise ant colony optimization Filtering algorithms Density functional theory Particle filters Robustness State estimation
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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