Foot Contact Detection for Sprint Training
We introduce a new algorithm to automatically identify the time and pixel location of foot contact events in high speed video of sprinters. We use this information to autonomously synchronise and overlay multiple recorded performances to provide feedback to athletes and coaches during their training sessions.
The algorithm exploits the variation in speed of different parts of the body during sprinting. We use an array of foreground accumulators to identify short-term static pixels and a temporal analysis of the associated static regions to identify foot contacts.
We evaluated the technique using 13 videos of three sprinters. It successfully identifed 55 of the 56 contacts, with a mean localisation error of 1.39±1.05 pixels. Some videos were also seen to produce additional, spurious contacts. We present heuristics to help identify the true contacts.
KeywordsBackground Subtraction High Speed Video Foreground Pixel Contact Detection Sprint Training
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- 1.Parks, D.H., Fels, S.S.: Evaluation of background subtraction algorithms with post-processing. In: AVSS 2008: Proceedings of the 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance, pp. 192–199. IEEE Computer Society, Washington, DC, USA (2008)CrossRefGoogle Scholar
- 5.Bayer, B.E.: Color imaging array. US Patent 3971065 (1976), http://patft.uspto.gov/netacgi/nph-Parser?patentnumber=3971065
- 7.Zhou, W., Vallaikal, A., Kuo, C.C.J.: Rule-based video classification system for baseketball video indexing. In: International Multimedia Conference, pp. 213–216. ACM, New York (2000)Google Scholar