Extracting key postures using radon transform

Publication Type:
Conference Proceeding
2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ, 2008
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Human key posture extraction will benefit for human action recognition, human action retrieval, human behaviour understanding and so on. This paper proposes an approach to select key postures from a human action video based on Radon transform. Cluster is used on the Radon transform to select the final key postures of human action video. The approach does not require motion extraction from the human action video. The experiments results show that the proposed approach is efficient. © 2008 IEEE.
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