Fundamentals of speech recognition
Fundamentals of speech recognition
An HMM-Based Threshold Model Approach for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing and Tracking Human Action
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Dynamic Time Warping for Off-Line Recognition of a Small Gesture Vocabulary
RATFG-RTS '01 Proceedings of the IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems (RATFG-RTS'01)
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Survey of sports video analysis: research issues and applications
VIP '05 Proceedings of the Pan-Sydney area workshop on Visual information processing
Gesture spotting in continuous whole body action sequences using discrete hidden markov models
GW'05 Proceedings of the 6th international conference on Gesture in Human-Computer Interaction and Simulation
Accurate and efficient gesture spotting via pruning and subgesture reasoning
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
On the convergence of planar curves under smoothing
IEEE Transactions on Image Processing
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The determination of the player's gestures and actions in sports video is a key task in automating the analysis of the video material at a high level. In many sports views, the camera covers a large part of the sports arena, so that the resolution of player's region is low. This makes the determination of the player's gestures and actions a challenging task, especially if there is large camera motion. To overcome these problems, we propose a method based on curvature scale space templates of the player's silhouette. The use of curvature scale space makes the method robust to noise and our method is robust to significant shape corruption of a part of player's silhouette. We also propose a new recognition method which is robust to noisy sequences of data and needs only a small amount of training data.