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Automatic surveillance analyzer using trajectory and body-based modeling

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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Samenvatting

With the continuous improvements in computer-vision techniques, automatic low-cost video surveillance gradually emerges for consumer applications. Successful trajectory estimation and human-body modeling facilitate the semantic analysis of human activities in video sequences. We propose a fast analyzer for surveillance video, which aims at automatic analysis of human behavior and semantic events. Our analyzer employs visual cues to track moving persons and classify human-body postures from a monocular video. It consists of three processing steps: (1) multi-person detection, (2) persons tracking with trajectory estimation, and (3) posture classification. We show attractive experimental results, highlighting the system efficiency and classification capability.
Originele taal-2Engels
TitelDigest of Technical Papers 2009 International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, January 10-14, 2009
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's7.1-5-1-2
ISBN van elektronische versie978-1-4244-2559-4
ISBN van geprinte versie978-1-4244-4701-5
DOI's
StatusGepubliceerd - 2009
Evenement2009 IEEE International Conference on Consumer Electronics, ICCE 2009 - Las Vegas, Verenigde Staten van Amerika
Duur: 4 jan. 200910 jan. 2009

Congres

Congres2009 IEEE International Conference on Consumer Electronics, ICCE 2009
Verkorte titelICCE 2009
Land/RegioVerenigde Staten van Amerika
StadLas Vegas
Periode4/01/0910/01/09

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