Efficient feedforward categorization of objects and human postures with address-event image sensors
This paper proposes an algorithm for feedforward categorization of objects and, in particular, human postures in real-time video sequences from address-event temporal-difference image sensors. The system employs an innovative combination of event-based hardware and bio-inspired software architecture...
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Main Authors: | , , , , , |
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其他作者: | |
格式: | Article |
語言: | English |
出版: |
2013
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主題: | |
在線閱讀: | https://hdl.handle.net/10356/99187 http://hdl.handle.net/10220/13517 |
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機構: | Nanyang Technological University |
語言: | English |