Ahmed, Syed and Guptha, Nirmala and Fathima, Afifa and Ashwini, S (2021) Multi-View Feature Clustering Technique for Detection and Classification of Human Actions. In: Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India.
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Abstract
Recognizing the actions performed by any person is the most suc-cessful applications in pattern recognition. Detecting the action in a moving camera influences dynamic view changes, is based on spatio-temporal infor-mation at multiple temporal scales. In this paper, we are presenting a system that i
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 14:01 |
| Last Modified: | 17 Apr 2026 09:28 |
| URI: | http://eprints.eai.eu/id/eprint/32768 |
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