Efficient multiple faces tracking based on Relevance Vector Machine and Boosting learning
Journal of Visual Communication and Image Representation
Robust Face Tracking with Suppressed False Positives in Smart Home Environment
ICOST '08 Proceedings of the 6th international conference on Smart Homes and Health Telematics
Tracking multiple people with recovery from partial and total occlusion
Pattern Recognition
Skin detection using neighborhood information
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Advanced soft remote control system using hand gesture
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Real-time viewpoint-invariant hand localization with cluttered backgrounds
Image and Vision Computing
| Hi-index | 0.00 |
Robust tracking of persons in real-world environments and in real-time is a common goal in many video applications. In this paper a computational system for the real-time tracking of multiple persons in natural environments is presented. The system integrates state-of-the-artmethodologies for the analysis of movement and color, as well as for the detection of faces. Face detection is complemented by a face tracking module based on heuristics developed by the authors. Exemplary results of the integrated system working in real-world video sequences are shown.