Tracking and recognition of multiple faces at distances

Authors:
Rong Liu;Xiufeng Gao;Rufeng Chu;Xiangxin Zhu;Stan Z. Li
Affiliations:
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, China;Center for Biometrics and Security Research & National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, China;Center for Biometrics and Security Research & National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, China;Center for Biometrics and Security Research & National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, China;Center for Biometrics and Security Research & National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, China
Venue:
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Year:
2007

Citing 10
Cited 0

Statistical Learning of Multi-view Face Detection

ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Elliptical Head Tracking Using Intensity Gradients and Color Histograms

CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Exemplar-Based Face Recognition from Video

FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Face recognition: A literature survey

ACM Computing Surveys (CSUR)
Robust Real-Time Face Detection

International Journal of Computer Vision
Head Tracking with Shape Modeling and Detection

CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
Reliable and Fast Tracking of Faces under Varying Pose

FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Face Description with Local Binary Patterns: Application to Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Illumination Invariant Face Recognition Using Near-Infrared Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking multiple people with recovery from partial and total occlusion

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

Many applications require tracking and recognition of multiple faces at distances, such as in video surveillance. Such a task, dealing with noncooperative objects is more challenging than handling a single face and than tackling a cooperative user. The difficulties include mutual occlusions of multiple faces and arbitrary head poses. In this paper, we present a method for solving the problems and a real-time system implementation. An appearance model updating mechanism is developed via Gaussian Mixture Models to deal with tracking under head rotation and mutual occlusion. Face recognition based on video sequence is then performed to get the identity information. Through fusing the tracking and recognition information, the performance of them are both improved. A real-time system for multi-face tracking and recognition at distances is presented. The system can track multiple faces under head rotations, and deal with total occlusion effectively regardless of the motion trajectory. It is also able to recognize multi-persons simultaneously. Experimental results demonstrate promising performance of the system.