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Motion analysis in broadcast sports video is a challenging problem especially for player action recognition due to the low resolution of players in the frames. This paper presents a novel approach to recognize the basic player actions in broadcast tennis video where the player is about 30 pixels tall. Two research challenges, motion representation and action recognition, are addressed. A new motion...
In this paper, we derive a data association algorithm for object tracking in a maximum a posteriori framework: the output of the algorithm is the sequence of measurement-to-target associations with maximum a posteriori probability. We model the object motion as a Markov process, and solve this otherwise combinatorially complex problem efficiently by applying the Viterbi algorithm. A method for combining...
Object segmentation is one of key issues in object based video analysis and retrieval. In this paper, a basketball segmentation algorithm is proposed. The algorithms involve a hierarchical basketball detection algorithm and a motion tracking algorithm based on adaptive object model. Basketball detection algorithm is started firstly, only when a basketball is detected, the tracking algorithm is started...
This paper deals with the analysis of broadcast soccer video. To recognize interesting events such as a goal, estimation of ball movements is necessary. It is, however, sometimes difficult to detect a ball by a simple color and shape-based method when it overlaps with players and lines. We therefore develop a method of estimating a ball route during such overlaps by considering spatio-temporal relationships...
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