International Journal of Computer Vision
Human Motion Analysis: A Review
NAM '97 Proceedings of the 1997 IEEE Workshop on Motion of Non-Rigid and Articulated Objects (NAM '97)
Pseudo measurement based multiple model approach for robust player tracking
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Football video annotation based on player motion recognition using enhanced entropy
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
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Many different methods for tracking humans were proposed in the past several years, yet surprisingly only a few authors examined the accuracy of the proposed systems. As the accuracy analysis is impossible without the well-defined ground truth, some kind of at least partially controlled environment is needed. Analysis of an athlete motion in sport match is well suited for that purpose, and it coincides with the need of the sport research community for accurate and reliable results of motion acquisition. This paper presents a development of a two-camera people tracker, incorporating two complementary tracking algorithms. The developed system is suited for simultaneously tracking several people on a large area of a handball court, using a sequence of 384-by-288 pixel images from fixed cameras. We also examine the level of accuracy that this kind of computer vision system setup is capable of.