Long Jumping Videos Processing by Surendra and CamShift Algorithms

Ai Ling Song; Kai Chen

doi:10.4028/www.scientific.net/AMM.380-384.3954

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Long Jumping Videos Processing by Surendra and...

Long Jumping Videos Processing by Surendra and CamShift Algorithms

Abstract:

The precise analysis of long jumpers skilled videos is essential for the coaches to schedule the training. In this paper, we finished the athletes detection and tracing in the vide using the modified Surendra and CamShift algorithms respectively. The results show that the contour of the athletes presented is complete by the modified Surendra, and that the less searching area and appropriate detection box size can be obtained by the improved CamShift. Our cases can provide the valuable references to the related research and application.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

3954-3957

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.3954

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Online since:

August 2013

Authors:

Ai Ling Song, Kai Chen

Keywords:

Camshift, Long Jump, Surendra

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References

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