engleski

Player Number Recognition in Soccer Video using Internal Contours and Temporal Redundancy

Player identification is important task in sport video content analysis. In case of soccer video player numbers can be exploited to perform recognition. Jersey numbers can be considered as scene text and main problems in localization and recognition are low resolution, low contrast, color aliasing, unconstrained background etc. This paper proposed new method for player number localization and recognition. Firstly jersey regions are extracted using region growing algorithm. These regions are segmented using the component of HSV color space that best separates jersey and number area. Then, novel method for player number localization based on internal contours is proposed. False number candidates are discarded based on area and aspect ratio. Extracted numbers are enhanced using image smoothing and rotation normalization. We also propose algorithm that improves OCR recognition performance using temporal redundancy.

player number recognition; soccer video; HSV color space

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