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Conference Paper: Reliable and fast human body tracking under information deficiency

TitleReliable and fast human body tracking under information deficiency
Authors
Issue Date2003
PublisherIEEE.
Citation
The 2003 IEEE Intelligent Automation Conference (2003年中国智能自动化会议), Hong Kong, 15-17 December 2003. In Proceedings of the IEEE Intelligent Automation Conference, 2003, p. 491-498 How to Cite?
AbstractHuman body tracking is useful in applications like medical diagnostic, human computer interface, visual surveillance etc. In most cases, only rough position of the target is needed, and blob tracking can be used. The blob region is located within a searching window, which is shifted and resized in each frame based on previous observations. The observations are the locations of the blob in the frames, and are fed into an estimator for predicting the position and the size of the searching window. However, a blob region is regarded as a noisy observation, and the information provided by the blob observation is deficient for most estimators to work well. In this paper, a reliable and efficient estimation algorithm using wavelet is proposed to track human body under information deficiency. The human body is located roughly within a small searching window using color and motion as heuristics. The location and the size of the searching window are estimated using the proposed wavelet estimation scheme. Experimental results show that human body can be tracked accurately and efficiently using the proposed method. The tracker works well in various conditions like clutter background, and background with distractors.
DescriptionSession MA-4 System Identification and Pattern Recognition I
Persistent Identifierhttp://hdl.handle.net/10722/137110

 

DC FieldValueLanguage
dc.contributor.authorWong, SF-
dc.contributor.authorWong, KKY-
dc.date.accessioned2011-08-17T08:44:01Z-
dc.date.available2011-08-17T08:44:01Z-
dc.date.issued2003-
dc.identifier.citationThe 2003 IEEE Intelligent Automation Conference (2003年中国智能自动化会议), Hong Kong, 15-17 December 2003. In Proceedings of the IEEE Intelligent Automation Conference, 2003, p. 491-498zh_HK
dc.identifier.urihttp://hdl.handle.net/10722/137110-
dc.descriptionSession MA-4 System Identification and Pattern Recognition I-
dc.description.abstractHuman body tracking is useful in applications like medical diagnostic, human computer interface, visual surveillance etc. In most cases, only rough position of the target is needed, and blob tracking can be used. The blob region is located within a searching window, which is shifted and resized in each frame based on previous observations. The observations are the locations of the blob in the frames, and are fed into an estimator for predicting the position and the size of the searching window. However, a blob region is regarded as a noisy observation, and the information provided by the blob observation is deficient for most estimators to work well. In this paper, a reliable and efficient estimation algorithm using wavelet is proposed to track human body under information deficiency. The human body is located roughly within a small searching window using color and motion as heuristics. The location and the size of the searching window are estimated using the proposed wavelet estimation scheme. Experimental results show that human body can be tracked accurately and efficiently using the proposed method. The tracker works well in various conditions like clutter background, and background with distractors.-
dc.languageeng-
dc.publisherIEEE.-
dc.relation.ispartofProceedings of the IEEE Intelligent Automation Conference-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsProceedings of the IEEE Intelligent Automation Conference. Copyright © IEEE.-
dc.rights©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.titleReliable and fast human body tracking under information deficiencyen_US
dc.typeConference_Paperen_US
dc.identifier.emailWong, KKY: kykwong@cs.hku.hk-
dc.description.naturepublished_or_final_version-
dc.identifier.hkuros85358-
dc.identifier.spage491-
dc.identifier.epage498-
dc.description.otherThe 2003 IEEE Intelligent Automation Conference (2003年中国智能自动化会议), Hong Kong, 15-17 December 2003. In Proceedings of the IEEE Intelligent Automation Conference, 2003, p. 491-498zh_HK

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