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Conference Paper
Golf Ball Detection from Multi-Exposure Images under Heavy Occlusion
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- Authors
- Jong-Sung Kim, Myung-Gyu Kim
- Issue Date
- 2012-02
- Citation
- International Conference on Advanced Communication Technology (ICACT) 2012, pp.1276-1279
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we propose an automatic technique for detecting golf balls from multi-exposure images under heavy occlusion. The proposed technique consists of two processes. First, an automatic region-of-interest detection process based on image thresholding and labelling techniques is employed to separate regions of interest of golf ball from each multiexposure image. Then, a novel adaptive ball detection and selection process based on circular Hough transform and circular shape correlation is applied to each region of interest for determining the location and radius of each golf ball with high-accuracy irrespective of occlusion. Experimental results show that the proposed technique is capable of automatic golf ball detection under heavy occlusion.
- KSP Keywords
- Ball detection, Heavy occlusion, High accuracy, Image thresholding, Region of interest(ROI), Selection process, Shape correlation, circular hough transform, detection process, each region, golf ball