Presentation 2012-02-20
Experimental Evaluation of Image Object Tracking Method using Particle Filter and Minimum Classification Error Training
Junichi NAKAMURA, Shigeru KATAGIRI, Miho OHSAKI,
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Abstract(in English) To increase the accuracy of image object tracking, a discriminative tracking method was proposed that combined the particle filter and the minimum classification error training method. The method was evaluated in a task of tracking a hand image in a video scene. In that preceding study, a hand image was represented using its outline feature information, and the tracking was formalized as a two-class object detection task. However, we experimentally revealed that the method did not sufficiently work mainly due to the inadequacy of the outline-based hand image representation. Against this background, we propose in the present study an improved version of the method that replaces the outline-based feature representation with a small box-type image feature representation. We experimentally elaborate the performance of the improved method by controlling several key factors, such as the number of reference vectors per class.
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Keyword(in English) Minimum classification error training / Particle Filter / Discriminative Tracking
Paper # ITS2011-36,IE2011-112
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Committee IE
Conference Date 2012/2/13(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Experimental Evaluation of Image Object Tracking Method using Particle Filter and Minimum Classification Error Training
Sub Title (in English)
Keyword(1) Minimum classification error training
Keyword(2) Particle Filter
Keyword(3) Discriminative Tracking
1st Author's Name Junichi NAKAMURA
1st Author's Affiliation Doshisha University()
2nd Author's Name Shigeru KATAGIRI
2nd Author's Affiliation Doshisha University
3rd Author's Name Miho OHSAKI
3rd Author's Affiliation Doshisha University
Date 2012-02-20
Paper # ITS2011-36,IE2011-112
Volume (vol) vol.111
Number (no) 442
Page pp.pp.-
#Pages 6
Date of Issue