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Human action recognition using multi-channel spatio-temporal interest points
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| dc.contributor.author | Purohit, Ayush | |
| dc.date.accessioned | 2022-07-01T12:08:10Z | |
| dc.date.available | 2022-07-01T12:08:10Z | |
| dc.date.issued | 2016-04 | |
| dc.identifier.citation | Under the guidance of Dr. Venkatadri Marriboyina, Assistant Professor, UPES | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/3949 | |
| dc.description | Submitted in partial fulfillment of the requirements for the degree of M. Tech (Artificial Intelligence and Artificial Neural Network) | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Computer Science & Engineering, UPES, Dehradun | en_US |
| dc.subject | Dissertation | en_US |
| dc.subject | Computer Science Engineering | en_US |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Artificial Neural Network | en_US |
| dc.subject | Human Action Recognition | en_US |
| dc.title | Human action recognition using multi-channel spatio-temporal interest points | en_US |
| dc.type | Thesis | en_US |
