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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Venkateshan, K. Shekar, A. Saha, S. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., PES Inst. of Technol., Bangalore, India (Venkateshan, K.; Shekar, A.; Saha, S.) |
| Abstract | There has been a consistent interest in tracking players and their actions in a sports video among the computer vision community. Further, tracking specific body part of an athlete can give insight for expert analysis, graphics animators and game developers. This can be a laborious task as athletes tend to move at high and varying speeds causing motion blur. Moreover, there is no definite equation depicting their motion making it hard to develop a predictor. Hence in this paper, a technique to track the pitching hand of a baseball player is presented. Taking cues from the little information available from the predictor, the possible SURF feature points that might have the pitcher's hand in the vicinity are found. A simple skin detection can confirm the presence of the hand near the SURF keypoint. A curve is fitted on the detection over the length of a pitching video. The proposed technique overcomes speed variations and blurry features to detect the pitching hand of the baseball player. |
| Starting Page | 953 |
| Ending Page | 961 |
| File Size | 833675 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781479924325 |
| e-ISBN | 9781467362177 |
| DOI | 10.1109/ICACCI.2013.6637305 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-08-22 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | SURF Feature Detection Tracking Equations Background Subtraction Image color analysis Sports equipment Games Skin Detection Feature extraction Mathematical model Motion Tracking Rapid Object Detection Histogram Features |
| Content Type | Text |
| Resource Type | Article |
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