W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision
Where Are the Ball and Players? Soccer Game Analysis with Color Based Tracking and Image Mosaick
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume II
Soccer Image Sequence Computed by a Virtual Camera
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
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
Trajectory based event tactics analysis in broadcast sports video
Proceedings of the 15th international conference on Multimedia
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Distributed visual sensing for virtual top-view trajectory generation in football videos
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Proposal of a modular system for tracking indoor and outdoor sports
SMO'09 Proceedings of the 9th WSEAS international conference on Simulation, modelling and optimization
Hi-index | 0.00 |
In this work, we consider the problem of tracking players, during a soccer game, through the use of multiple cameras. The main goal here consists in finding the position of the players on the pitch at each instance of time. The tracking is performed through a graph representation in which the nodes correspond to the blobs obtained by image segmentation and the edges, weighted using the blobs information and trajectory in the image sequence, represent the distance between nodes. We present a new way of trating occlusions by splitting segmented blobs based on morphological operators and a backward and forward graph representation which allows an increasing in the number of frames automatically tracked. Unlike other works in which the analysis of short video sequences is presented, this paper illustrates the tracking results for all the players during a whole game.