The nature of statistical learning theory
The nature of statistical learning theory
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Robust Real-Time Periodic Motion Detection, Analysis, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion-Based Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Classification of Tennis Video for High-level Content-based Retrieval
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Real-Time Tracking for Enhanced Tennis Broadcasts
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Video Annotation for Content-based Retrieval using Human Behavior Analysis and Domain Knowledge
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Unsupervised Learning of Human Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Automatic Parsing of TV Soccer Programs
ICMCS '95 Proceedings of the International Conference on Multimedia Computing and Systems
Recognizing Action at a Distance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Semantic annotation of soccer videos: automatic highlights identification
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Structure analysis of soccer video with domain knowledge and hidden Markov models
Pattern Recognition Letters - Video computing
A new method to segment playfield and its applications in match analysis in sports video
Proceedings of the 12th annual ACM international conference on Multimedia
HMM based structuring of tennis videos using visual and audio cues
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
A tennis video indexing approach through pattern discovery in interactive process
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Automatic sports highlights extraction with content augmentation
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Personalized abstraction of broadcasted American football video by highlight selection
IEEE Transactions on Multimedia
Automatic soccer video analysis and summarization
IEEE Transactions on Image Processing
Trajectory based event tactics analysis in broadcast sports video
Proceedings of the 15th international conference on Multimedia
Event tactic analysis based on player and ball trajectory in broadcast video
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Structure and event mining in sports video with efficient mosaic
Multimedia Tools and Applications
Highlight Ranking for Broadcast Tennis Video Based on Multi-modality Analysis and Relevance Feedback
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
MM '09 Proceedings of the 17th ACM international conference on Multimedia
TuVista: meeting the multimedia needs of mobile sports fans
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Event tactic analysis based on broadcast sports video
IEEE Transactions on Multimedia
Combining inertial and visual sensing for human action recognition in tennis
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams
Directionally-grouped CHLAC motion feature extraction and its application to sport motion analysis
NEHIPISIC'11 Proceeding of 10th WSEAS international conference on electronics, hardware, wireless and optical communications, and 10th WSEAS international conference on signal processing, robotics and automation, and 3rd WSEAS international conference on nanotechnology, and 2nd WSEAS international conference on Plasma-fusion-nuclear physics
Tennis real play: an interactive tennis game with models from real videos
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Tactic analysis based on real-world ball trajectory in soccer video
Pattern Recognition
HMM-based ball hitting event exploration system for broadcast baseball video
Journal of Visual Communication and Image Representation
Sports Information Retrieval for Video Annotation
International Journal of Digital Library Systems
Identification and tracking of players in sport videos
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Recognizing jump patterns with physics-based validation in human moving trajectory
Journal of Visual Communication and Image Representation
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Recognition of player actions in broadcast sports video is a challenging task due to low resolution of the players in video frames. In this paper, we present a novel method to recognize the basic player actions in broadcast tennis video. Different from the existing appearance-based approaches, our method is based on motion analysis and considers the relationship between the movements of different body parts and the regions in the image plane. A novel motion descriptor is proposed and supervised learning is employed to train the action classifier. We also propose a novel framework by combining the player action recognition with other multimodal features for semantic and tactic analysis of the broadcast tennis video. Incorporating action recognition into the framework not only improves the semantic indexing and retrieval performance of the video content, but also conducts highlights ranking and tactics analysis in tennis matches, which is the first solution to our knowledge for tennis game. The experimental results demonstrate that our player action recognition method outperforms existing appearance-based approaches and the multimodal framework is effective for broadcast tennis video analysis.