| Z. Zhang, L. Zhu, S. Z. Li, and H. Zhang, "Real-time multi-view face detection," presented at the Int. Conf. Automatic Face and Gesture Recognition, Washington, DC, 2002. |
.... based on face detection [45] Face detection algorithms have in recent times advanced both in speed and detection performance such that they can be utilized even in real time systems for both user detection and localization and additional tasks such as head track verification and gaze estimation [46, 47]. After appropriate initialization one needs to track the person body parts over time to understand the gesture. 2.4.1. Visual Tracking Visual tracking is one of the most actively researched fields in computer vision. A thorough discussion of human motion tracking methods is not possible here ....
Z. Zhang, L. Zhu, S. Z. Li, and H. Zhang, "Real-Time Multi-View Face Detection," Proc. of the International Conference on Automatic Face and Gesture Recognition, Washington D.C., USA, 2002.
.... color space) the density of motion in the image (obtained by image differences) the density of foreground pixels in the image (obtained by background subtraction, after having learned the background) and the density of face pixels in the image (obtained by means of a real time face detector [14]) Finally, a history of the last 5 seconds of mouse and keyboard activities is logged. Architecture of SEER We employ a two level cascade of HMMs with three processing layers. The lowest layer captures video, audio, and keyboard and mouse activity, and computes the feature vectors associated ....
S. Li, X. Zou, Y. Hu, Z. Zhang, S. Yan, X. Peng, L. Huang, and H. Zhang. Real-time multi-view face detection, tracking, pose estimation, alignment, and recognition, 2001.
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S. Z. Li and et al. Real-time multi-view face detection, tracking, pose estimation, alignment, and recognition. In IEEE CVPR Demo Summary, 2001.
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Z. Zhang, L. Zhu, S. Li, H. Zhang, Real-time multi-view face detection, IEEE International Conference on Automatic Face and Gesture Recognition, Washington, DC, 2002.
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Z. Zhang, L. Zhu, S. Z. Li, and H. Zhang, "Real-time multi-view face detection," presented at the Int. Conf. Automatic Face and Gesture Recognition, Washington, DC, 2002.
No context found.
Z. Zhang, L. Zhu, S.Z. Li, H.J. Zhang. "Real-Time Multi-View Face Detection." Chinese Academy of Science / Microsoft Research Asia, Beijing, February 2002.
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S.Z. Li, X.L. Zou, et al. Real-time multi-view face detection, tracking, pose estimation, alignment, and recognition. In IEEE CVPR Demo Summary, 2001.
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Z. Zhang, L. Zhu, S. Li and H. Zhang, "Real-time multi-view face detection," IEEE International Conference on Automatic Face and Gesture Recognition, 2002.
No context found.
Z. Zhang, L. Zhu, S. Z. Li, and H. Zhang. Real-time multi-view face detection. In Proc. Int. Conf. on Automatic Face and Gesture Recognition, Washington, DC, 2002.
No context found.
S. Li, X. Zou, Y. Hu, Z. Zhang, S. Yan, X. Peng, L. Huang, and H. Zhang. Real-time multi-view face detection, tracking, pose estimation, alignment, and recognition, 2001.
No context found.
S. Li, X. Zou, Y. Hu, Z. Zhang, S. Yan, X. Peng, L. Huang, and H. Zhang. Real-time multi-view face detection, tracking, pose estimation, alignment, and recognition, 2001.
No context found.
Z. Zhang, L. Zhu, S. Z. Li, and H. Zhang. Real-time multi-view face detection. In Proc. Int. Conf. on Automatic Face and Gesture Recognition, Washington, DC, 2002.
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