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-2 | Engels |
|---|---|
| Titel | Digest of Technical Papers 2009 International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, January 10-14, 2009 |
| Plaats van productie | Piscataway |
| Uitgeverij | Institute of Electrical and Electronics Engineers |
| Pagina's | 7.1-5-1-2 |
| ISBN van elektronische versie | 978-1-4244-2559-4 |
| ISBN van geprinte versie | 978-1-4244-4701-5 |
| DOI's | |
| Status | Gepubliceerd - 2009 |
| Evenement | 2009 IEEE International Conference on Consumer Electronics, ICCE 2009 - Las Vegas, Verenigde Staten van Amerika Duur: 4 jan. 2009 → 10 jan. 2009 |
Congres
| Congres | 2009 IEEE International Conference on Consumer Electronics, ICCE 2009 |
|---|---|
| Verkorte titel | ICCE 2009 |
| Land/Regio | Verenigde Staten van Amerika |
| Stad | Las Vegas |
| Periode | 4/01/09 → 10/01/09 |
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