Presentation 2007-01-25
Visual Tracking in Occlusion Environments using Particle Filter with Autonomous Switching Mechanism of Targets
Jun-ichi IMAI, Masahide KANEKO,
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Abstract(in English) Visual tracking is required by many vision applications. However, in daily living spaces where some of such applications are assumed to be used, stable tracking is often difficult because there are many objects which are possible to cause the visual occlusion. In this paper, to handle this occlusion problem, we propose a novel method for visual tracking by a particle filter, which switches tracking targets autonomously. In our method, if an occlusion occurs during the tracking, the model of the occluder is dynamically created and the tracking target is switched to this model. Thus, our method enables the tracker to indirectly track the "invisible target" by switching its target to the occluder properly. Experimental results show the effectiveness of our method.
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Keyword(in English) visual tracking / particle filter / occlusion / autonomous switching of targets
Paper # NC2006-93
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Committee NC
Conference Date 2007/1/18(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Visual Tracking in Occlusion Environments using Particle Filter with Autonomous Switching Mechanism of Targets
Sub Title (in English)
Keyword(1) visual tracking
Keyword(2) particle filter
Keyword(3) occlusion
Keyword(4) autonomous switching of targets
1st Author's Name Jun-ichi IMAI
1st Author's Affiliation Graduate School of Electro-Communications, The University of Electro-Communications()
2nd Author's Name Masahide KANEKO
2nd Author's Affiliation Graduate School of Electro-Communications, The University of Electro-Communications
Date 2007-01-25
Paper # NC2006-93
Volume (vol) vol.106
Number (no) 500
Page pp.pp.-
#Pages 6
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