NDLI: A historical information feedback multiple-target tracker

Content Provider	IEEE Xplore Digital Library
Author	Shen-Tu Han Xue An-ke Peng Dong-liang
Copyright Year	2014
Description	Author affiliation: Instn. of Inf. & Control, Hangzhou Dianzi Univ., Hangzhou, China (Shen-Tu Han; Xue An-ke; Peng Dong-liang)
Abstract	The traditional PHD tracker (PHDT) generates the newborn PHD from the prior knowledge, thus can not be applied when the prior newborn target knowledge is unavailable. To this end, we propose a historical information feedback multiple-target tracker (HIFMTT) as an improvement to the traditional PHDT. The HIFMTT generates the newborn PHD through processing the historical observation and estimating results with a feedback structure, and thus can overcome the above mentioned difficulty. For the real application, we also construct the PF-HIFMTT algorithm by embedding the particle filter into the HIFMTT framework. The simulation results demonstrate the effectiveness of the PF-HIFMTT algorithm in two different scenarios.
Starting Page	7173
Ending Page	7178
File Size	217996
Page Count	6
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6896185
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	feedback probability hypothesis density tracker Pediatrics historical information Target tracking Noise multiple-target tracking Vectors Particle filters Mathematical model 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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