Name
Title | ||
|---|---|---|
A single-chip 600-fps real-time action recognition system employing a hardware friendly algorithm |
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ISCAS.2014.6865247 | ISCAS |
Keywords | Field | DocType |
hardware friendly algorithm,single-chip real-time action recognition system,motion detection,motion feature vector generation,field programmable gate array,nearest neighbor search,feature extraction,gesture recognition,frequency 63 mhz,field programmable gate arrays,fpga chip,whole action recognition algorithm,image motion analysis | Feature vector,Motion detection,Computer science,Algorithm,Gesture recognition,Feature extraction,Implementation,Chip,Robustness (computer science),Computer hardware,Nearest neighbor search | Conference |
ISSN | Citations | PageRank |
0271-4302 | 1 | 0.35 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zuoxun Hou | 1 | 1 | 0.35 |
| Hongbo Zhu | 2 | 19 | 4.14 |
| Nanning Zheng | 3 | 3975 | 329.18 |
| Tadashi Shibata | 4 | 104 | 16.61 |