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Conference Paper: Identification of humans using infrared gait recognition

TitleIdentification of humans using infrared gait recognition
Authors
KeywordsFeature Extraction
Gait Recognition
Infrared Thermal Imaging
Support Vector Machine
Wavelet Transform
Issue Date2009
PublisherIEEE
Citation
2009 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurements Systems, Hong Kong, 11-13 May 2009, p. 319-322 How to Cite?
AbstractHuman body is a natural emitter of infrared ray. Usually the body temperature is different from that of surrounding. This leads to gray-scale difference between human body and background in infrared thermal image. So the method of infrared thermal imaging was presented to classify gaits. Firstly, infrared videos of 23 subjects were collected by using infrared thermal camera. Body silhouettes were extracted and normalized to obtain the gait feature image. Then the wavelet transform was combined with invariant moments to compute the moment parameters based on integral model. The gait feature image was simplified to extract the parameters based on the body skeleton. Finally, the parameters were applied to support vector machine for classification. This method achieved 71%-92% for the probability of correct recognition. The results showed that it was insensitive for loading objects (backpack and volleyball) to recognize gaits in infrared video. Also it is easy to detect the moving human body during the whole day. ©2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/173410
ISBN
ISSN
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorMing, Den_US
dc.contributor.authorXue, Zen_US
dc.contributor.authorMeng, Len_US
dc.contributor.authorWan, Ben_US
dc.contributor.authorHu, Yen_US
dc.contributor.authorLuk, KDKen_US
dc.date.accessioned2012-10-30T06:30:54Z-
dc.date.available2012-10-30T06:30:54Z-
dc.date.issued2009en_US
dc.identifier.citation2009 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurements Systems, Hong Kong, 11-13 May 2009, p. 319-322en_US
dc.identifier.isbn978-1-4244-3808-2-
dc.identifier.issn1944-9410-
dc.identifier.urihttp://hdl.handle.net/10722/173410-
dc.description.abstractHuman body is a natural emitter of infrared ray. Usually the body temperature is different from that of surrounding. This leads to gray-scale difference between human body and background in infrared thermal image. So the method of infrared thermal imaging was presented to classify gaits. Firstly, infrared videos of 23 subjects were collected by using infrared thermal camera. Body silhouettes were extracted and normalized to obtain the gait feature image. Then the wavelet transform was combined with invariant moments to compute the moment parameters based on integral model. The gait feature image was simplified to extract the parameters based on the body skeleton. Finally, the parameters were applied to support vector machine for classification. This method achieved 71%-92% for the probability of correct recognition. The results showed that it was insensitive for loading objects (backpack and volleyball) to recognize gaits in infrared video. Also it is easy to detect the moving human body during the whole day. ©2009 IEEE.en_US
dc.languageengen_US
dc.publisherIEEE-
dc.relation.ispartof2009 IEEE International Conference on Virtual Environments, Human-Computer Interfaces, and Measurements Systems, VECIMS 2009 - Proceedingsen_US
dc.subjectFeature Extractionen_US
dc.subjectGait Recognitionen_US
dc.subjectInfrared Thermal Imagingen_US
dc.subjectSupport Vector Machineen_US
dc.subjectWavelet Transformen_US
dc.titleIdentification of humans using infrared gait recognitionen_US
dc.typeConference_Paperen_US
dc.identifier.emailHu, Y:yhud@hku.hken_US
dc.identifier.emailLuk, KDK:hcm21000@hku.hken_US
dc.identifier.authorityHu, Y=rp00432en_US
dc.identifier.authorityLuk, KDK=rp00333en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/VECIMS.2009.5068916en_US
dc.identifier.scopuseid_2-s2.0-70349899092en_US
dc.identifier.hkuros159885-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-70349899092&selection=ref&src=s&origin=recordpageen_US
dc.identifier.spage319en_US
dc.identifier.epage322en_US
dc.identifier.isiWOS:000270760700062-
dc.identifier.scopusauthoridMing, D=9745824400en_US
dc.identifier.scopusauthoridXue, Z=16178824200en_US
dc.identifier.scopusauthoridMeng, L=55230854500en_US
dc.identifier.scopusauthoridWan, B=7102316798en_US
dc.identifier.scopusauthoridHu, Y=7407116091en_US
dc.identifier.scopusauthoridLuk, KDK=7201921573en_US

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