Title

Recognition of semantic basketball events based on optical flow patterns

RIS ID

32118

Publication Details

Li, L., Chen, Y., Hu, W., Li, W. & Zhang, X. (2009). Recognition of semantic basketball events based on optical flow patterns. In G. Bebis (Eds.), Advances in Visual Computing. 5th International Symposium ISVC 2009 Proceedings, Part II (pp. 480-488). Berlin, Germany: Spinger Verlag.

Abstract

This paper presents a set of novel features for classifying basketball video clips into semantic events and a simple way to use prior temporal context information to improve the accuracy of classification. Specifically, the feature set consists of a motion descriptor, motion histogram, entropy of the histogram and texture. The motion descriptor is defined based on a set of primitive motion patterns which are derived form optical flow field. The event recognition is achieved by using kernel SVMs and a temporal contextual model. Experimental results have verified the effectiveness of the proposed method.

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Link to publisher version (DOI)

http://dx.doi.org/10.1007/978-3-642-10520-3_45