NDLI: Multiple target tracking using particle filter based multi-scan joint probabilistic data association filter

Content Provider	IEEE Xplore Digital Library
Author	Liu Jing Han Chongzhao Hu Yu
Copyright Year	2011
Description	Author affiliation: Schools of Aeronautics, Northwestern Polytechnical University, 710072, China (Hu Yu) \|\| School of Electronics and Information Engineering, Xi'an JiaoTong University, 710049, China (Liu Jing; Han Chongzhao)
Abstract	In this paper, a particle filter based multi-scan JPDA filter is proposed to deal with the data association problem in multiple target tracking. In the proposed multi-scan JPDA algorithm, the distributions of interest are the marginal filtering distributions for each of the targets, and these distributions are approximated with particles. The multi-scan JPDA algorithm examines the joint association events in a multi-scan sliding window and calculates the marginal posterior probability based on the multi-scan joint association events. The proposed algorithm is illustrated via an example involving tracking of two slowly maneuvering targets based on resolved measurements.
Starting Page	3134
Ending Page	3139
File Size	142493
Page Count	6
File Format	PDF
ISBN	9781457706776
ISSN	21612927
e-ISBN	9789881725592
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Target tracking Atmospheric measurements Multi-scan JPDA Particle Filter Multiple Target Tracking Approximation algorithms Particle measurements Radar tracking Joints Clutter
Content Type	Text
Resource Type	Article

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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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