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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.
L. Jordao +3 more
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Robust multi-view face tracking
2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005For face tracking in a video sequence, various face tracking algorithms have been proposed. However, most of them have a difficulty in finding the initial position and size of a face automatically. In this paper, we present a fast and robust method for fully automatic multi-view face detection and tracking.
null Kwang Ho An +3 more
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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.
C. Lerdsudwichai, M. Abdel-Mottaleb
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Robust face tracking using color
Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580), 2002We discuss a new robust tracking technique applied to histograms of intensity-normalized color. This technique supports a video codec based on orthonormal basis coding. Orthonormal basis coding can be very efficient when the images to be coded have been normalized in size and position.
K. Schwerdt, J.L. Crowley
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2017
At the heart of a user’s desire to interact with the Kinect is the ability to physically manipulate a digital reality. It is an experience that is nigh on magical for most people.
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At the heart of a user’s desire to interact with the Kinect is the ability to physically manipulate a digital reality. It is an experience that is nigh on magical for most people.
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Nose Based Rigid Face Tracking
2019Face detection is one of the first stages of face recognition systems. Thanks to advances in deep neural networks, success has been achieved on many similar image recognition tasks. When videos are available, temporal information can be used for determining the position of the face, avoiding having to detect faces for all frames. Such techniques can be
Luan P. e Silva +3 more
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Face Tracking and Expression Detection
2021Just in case you thought that the built-in Augmented Reality functionality that ARKit has to offer wasn’t amazing enough, you won’t believe what you can do with face tracking and facial expression detection. By using the front-facing camera, it can track multiple faces and even the expressions on them.
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Proceedings of the Second International Conference on Automatic Face and Gesture Recognition, 2002
S. McKenna, S. Gong
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S. McKenna, S. Gong
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Information Theory Based Face Tracking
2003Automatic detection and tracking of human body parts (e.g. face, arms) is a challenging research topic with applications in many domains such as human computer interaction, surveillance, face recognition and human joint audio and video localization systems.
Evangelos Loutas +2 more
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