Human action recognition using a fast learning fully complex-valued classifier
In this paper, we use optical flow based complex-valued features extracted from video sequences to recognize human actions. The optical flow features between two image planes can be appropriately represented in the Complex plane. Therefore, we argue that motion information that is used to model the...
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| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/98664 http://hdl.handle.net/10220/13654 |
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| Institution: | Nanyang Technological University |
| Language: | English |