Particle Filter with Analytical Inference for Human Body Tracking
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
Robust real-time upper body limb detection and tracking
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
3D Games, Vol. 2: Animation and Advanced Real-Time Rendering
3D Games, Vol. 2: Animation and Advanced Real-Time Rendering
Real-time robust body part tracking for augmented reality interface
Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry
Real-time upper body detection and 3d pose estimation in monoscopic images
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
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This paper presents a real-time system to detect and estimate the pose of human upper body from a monocular video. A novel approach to locate the hands is proposed, which is designed to cope with the complicated situations such as short sleeves, fast motion and occlusion. Human silhouette and skin color blobs are extracted from the frames of the video; then candidate locations of head, hands, and elbows are chosen and evaluated by an inverse kinematics based strategy. Experiments demonstrate the efficacy and robustness of this approach. The algorithm is developed for a camera-based tennis game, in which poses of a player have to be estimated in real time (for avatar animation, action recognition, etc). It can also be applied in other human-computer interaction applications.