Efficient Region Tracking With Parametric Models of Geometry and Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Elliptical Head Tracking Using Intensity Gradients and Color Histograms
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Automatic extraction and description of human gait models for recognition purposes
Computer Vision and Image Understanding
Automatic gait recognition by symmetry analysis
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Probabilistic recognition of human faces from video
Computer Vision and Image Understanding - Special issue on Face recognition
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Visual tracking and recognition using probabilistic appearance manifolds
Computer Vision and Image Understanding
A generic approach to simultaneous tracking and verification in video
IEEE Transactions on Image Processing
Object recognition and segmentation in videos by connecting heterogeneous visual features
Computer Vision and Image Understanding
Person recognition using facial video information: A state of the art
Journal of Visual Languages and Computing
Video-based face recognition: state of the art
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
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This paper describes a new approach for identity recognition using video sequences. While most image and video recognition systems discriminate identities using physical information only, our approach exploits the behavioural information of head dynamics; in particular the displacement signals of few head features directly extracted at the image plane level. Due to the lack of standard video database, identification and verification scores have been obtained using a small collection of video sequences; the results for this new approach are nevertheless promising