Abstract
Human action recognition refers to the classification of human action from video clips automatically. Images extracted from the video clips at regular time interval are processed to identify the action contained in them. This is done by comparing these images with images taken from appropriate standard action databases. Thus, human action recognition becomes the task of verifying the similarity between two images. This paper proposes mutual difference score as a measure of similarity between two images. The proposed measure has been validated using the Weizmann and KTH datasets.
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Anwar, S., Rajamohan, G. (2017). Action Classification Based on Mutual Difference Score. In: Satapathy, S., Bhateja, V., Udgata, S., Pattnaik, P. (eds) Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications . Advances in Intelligent Systems and Computing, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-10-3153-3_71
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DOI: https://doi.org/10.1007/978-981-10-3153-3_71
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