Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2003.07e
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- Pages.1960-1963
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- 2003
Integrated Approach of Multiple Face Detection for Video Surveillance
- Kim, Tae-Kyun (Human Computer Interaction Lab., Samsung AIT) ;
- Lee, Sung-Uk (Human Computer Interaction Lab., Samsung AIT) ;
- Lee, Jong-Ha (Human Computer Interaction Lab., Samsung AIT) ;
- Kee, Seok-Cheol (Human Computer Interaction Lab., Samsung AIT) ;
- Kim, Sang-Ryong (Human Computer Interaction Lab., Samsung AIT)
- Published : 2003.07.01
Abstract
For applications such as video surveillance and human computer interface, we propose an efficiently integrated method to detect and track faces. Various visual cues are combined to the algorithm: motion, skin color, global appearance and facial pattern detection. The ICA (Independent Component Analysis)-SVM (Support Vector Machine based pattern detection is performed on the candidate region extracted by motion, color and global appearance information. Simultaneous execution of detection and short-term tracking also increases the rate and accuracy of detection. Experimental results show that our detection rate is 91% with very few false alarms running at about 4 frames per second for 640 by 480 pixel images on a Pentium IV 1㎓.
Keywords