Results 221 to 230 of about 142,458 (260)
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2009 International Conference on Measuring Technology and Mechatronics Automation, 2009
The Camshift algorithm fails to track face easily while it is occluded, so a new face tracking method is proposed in this paper. This method combines the Camshift algorithm and the GM(1,1) model with optimized background values. By using moving vector information, this method can effectively track face even occluded by other static objects. The GM(1,1)
Jianxiong Tang, Jianxin Zhang
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The Camshift algorithm fails to track face easily while it is occluded, so a new face tracking method is proposed in this paper. This method combines the Camshift algorithm and the GM(1,1) model with optimized background values. By using moving vector information, this method can effectively track face even occluded by other static objects. The GM(1,1)
Jianxiong Tang, Jianxin Zhang
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Face tracking for model‐based coding and face animation
International Journal of Imaging Systems and Technology, 2003AbstractWe present a face and facial feature tracking system able to extract animation parameters describing the motion and articulation of a human face in real‐time on consumer hardware. The system is based on a statistical model of face appearance and a search algorithm for adapting the model to an image.
Jörgen Ahlberg, Robert Forchheimer
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REALIZING FACE-TO-FACE INTERACTION BY VIEW-BASED TRACKING
International Journal of Information Technology & Decision Making, 2002In this paper, we propose a method of realizing face-to-face interaction by view-based tracking between a human and a mobile robot. Although individuals can be recognized easily by observing frontal faces, it is difficult to do it from profiles of face.
Shigang Li 0001, Fuji Ren
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Probabilistic Detection and Tracking of Faces in Video
2005In this note it is discussed how face detection and tracking in video can be achieved relying on a detection-tracking loop. Such integrated approach is appealing with respect either to robustness and computational efficiency.
Giuseppe Boccignone +3 more
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Face tracking with a probabilistic Viola and Jones face detector
IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, 2019This work proposes a new method for face and mouth tracking using video cameras. This method has been proposed to be used in intelligent spaces as an initial stage to provide information to higher level applications. The method incorporates the classifiers of the Viola and Jones detection method, modified to provide a probabilistic output previously ...
Frank Sanabria-Macias +5 more
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Proceedings of the Second International Conference on Automatic Face and Gesture Recognition, 2002
Stephen J. McKenna, Shaogang Gong
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Stephen J. McKenna, Shaogang Gong
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Fast and Robust Face Tracking for Analyzing Multiparty Face-to-Face Meetings
2008This paper presents a novel face tracker and verifies its effectiveness for analyzing group meetings. In meeting scene analysis, face direction is an important clue for assessing the visual attention of meeting participants. The face tracker, called STCTracker (Sparse Template Condensation Tracker), estimates face position and pose by matching face ...
Kazuhiro Otsuka, Junji Yamato
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Face Track: Face Recognition and Attendance System
International Scientific Journal of Engineering and ManagementTraditional attendance systems require manual intervention, consume valuable class time, and are prone to errors such as proxy attendance and inaccurate record keeping. To overcome these limitations, this project presents a Face Recognition and Attendance System that automates the attendance process using computer vision and facial recognition ...
Miss. Misha Syed Shabbir Miss. Misha Syed Shabbir +1 more
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Online Multi-Face Tracking With Multi-Modality Cascaded Matching
IEEE Transactions on Circuits and Systems for Video Technology, 2023Rajesh Elara Mohan +2 more
exaly
Face Tracking and Pose Representation
Procedings of the British Machine Vision Conference 1996, 1996Stephen J. McKenna +2 more
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