Results 241 to 250 of about 3,123,613 (291)
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Face as Mouse Through Visual Face Tracking
The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005This paper introduces a novel camera mouse driven by visual face tracking based on a 3D model. As the camera becomes standard configuration for personal computers (PCs) and computation speed increases, achieving human-machine interaction through visual face tracking becomes a feasible solution to hands-free control. Human facial movements can be broken
Jilin Tu, Thomas S. Huang, Hai Tao
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Beauty is Better Pursued: Effects of Attractiveness in Multiple-Face Tracking
Quarterly Journal of Experimental Psychology, 2012 Using the multiple-object tracking paradigm, this study examines how spontaneous appraisal for facial beauty affects distributed attention to multiple faces in dynamic displays.
Wenfeng Chen
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The extension of statistical face detection to face tracking
First Canadian Conference on Computer and Robot Vision, 2004. Proceedings., 2004A real time probablistic face tracking system using monocular vision is presented based on face target acquisition and subsequent particle filtering techniques. First, the face target acquisition and initialization stage used a skin color classification and statistical face model matching apprroach to find the face target.
Haisheng Wu, John S. Zelek
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Algorithm for multiple faces tracking
2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698), 2003Robust real-time face tracking is a challenging task. This paper presents an algorithm for tracking faces of multiple people even in case of total occlusion. The method uses the color distribution of each face with the mean shift tracking method.
Charay Lerdsudwichai +1 more
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Active face and feature tracking
Proceedings 10th International Conference on Image Analysis and Processing, 2003This paper describes a method for the detection and tracking of human face and facial features. Skin segmentation is learnt from samples of an image. After detecting a moving object, the corresponding area is searched for clusters of pixels with a known distribution.
Luis Jordao +3 more
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Face tracking for expressions simulations
Proceedings of the 4th international conference conference on Computer systems and technologies e-Learning - CompSysTech '03, 2003This paper presents a work that is part of the system for creation of real-faced avatar for emphatic communication. We have made a new extension of the KL T (Kanade-Lucas-Tomasi) face tracker. which is robust against loss of the tracked points. Stochastic skin-color model is used for a face segmentation in the frames contained in a video sequence ...
Peter Gejgus, Martin Sperka
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Face Clustering Based on Fusion of Face Tracking and Optimization
Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition, 2020Face clustering algorithms play an important role in face recognition and data analysis. Since the slow speed and high complexity face clustering algorithm of large-scale data in the face recognition system, we propose a face clustering algorithm combining face tracking and optimization.
Zengmin Lin +3 more
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Interleaved detection and tracking of faces in video
IEEE International Conference on Image Processing 2005, 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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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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