Real-Time Face Tracking and Recognition Based on Particle Filtering and AdaBoosting Techniques
Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques
Adaptive frame selection for improved face recognition in low-resolution videos
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Visual interaction in natural human-machine dialogue
PIT'06 Proceedings of the 2006 international tutorial and research conference on Perception and Interactive Technologies
| Hi-index | 0.00 |
In this paper, a real-time face detection system for color image sequences is presented. The system applies three different face detection methods and integrates the obtained results to achieve a greater location accuracy. The first method localizes the human head throughoutline analysis, focusing the attention of the system on a small image area. The second, a skin color method, is applied to the blobs to find skin regions (e.g., faces, hands, etc.). The third, principal component analysis, is used to reduce the dimensionality of the data set and todetect face patterns. Finally, the obtained face locations are fused to increase the detection reliability and to avoid false detections due to occlusions or unfavorable human poses. The proposed approach is used by a video-based surveillance system for monitoring indoor scenes.