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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zuoxun Hou Hongbo Zhu Nanning Zheng Shibata, T. |
| Copyright Year | 2014 |
| Description | Author affiliation: Center for Innovative Integrated Electron. Syst., Tohoku Univ., Sendai, Japan (Shibata, T.) || VLSI Design & Educ. Center (VDEC), Univ. of Tokyo, Tokyo, Japan (Hongbo Zhu) || Inst. of Artificial Intell. & Robot., Xi'an Jiaotong Univ., Xi'an, China (Zuoxun Hou; Nanning Zheng) |
| Abstract | A real-time action recognition system has been developed. In order to achieve an efficient and compact system implementation, a hardware friendly algorithm has been explored and employed in building the system. The core functions of the system, namely the whole action recognition algorithm including the motion detection, motion feature vector generation, nearest neighbor search, are entirely realized on a single FPGA chip. Operating at 63 MHz, the system can process QVGA (320 × 240) videos at a speed of 600-fps. The robustness of the system is demonstrated by real environment experiments on gesture recognition. |
| Sponsorship | IEEE Circuits Syst. Soc. |
| Starting Page | 762 |
| Ending Page | 765 |
| File Size | 941629 |
| Page Count | 4 |
| File Format | |
| e-ISBN | 9781479934324 |
| DOI | 10.1109/ISCAS.2014.6865247 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-01 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Vectors Feature extraction Hardware Support vector machine classification Real-time systems Videos Prototypes |
| Content Type | Text |
| Resource Type | Article |
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