Name
Abstract | ||
|---|---|---|
In intelligent transportation systems, human detection is an important issue and has been widely used in many applications. Histograms of oriented gradients (HOG) are proven to be able to significantly outperform existing feature sets for human detection. In this paper, we present a low-cost high-speed hardware implementation for HOG feature extraction. The simulation shows that the proposed circuit can achieve 167 MHz with 153-K gate counts by using Taiwan Semiconductor Manufacturing Company 0.13-μm technology. Compared with the previous hardware architectures for HOG feature extraction, our circuit requires fewer hardware costs and achieves faster working speed. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TITS.2013.2284666 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
histograms of oriented gradients (hog),hog feature extraction,hardware implementation,feature extraction,object detection,histograms of oriented gradients,human detection,intelligent transportation systems,taiwan semiconductor manufacturing company,frequency 167 mhz,methodology,histograms,hardware,parallel processing,computer architecture,real time systems | Computer vision,Object detection,Histogram,Computer science,Parallel processing,Semiconductor device fabrication,Feature extraction,Artificial intelligence,Intelligent transportation system,Computer hardware | Journal |
Volume | Issue | ISSN |
15 | 2 | 1524-9050 |
Citations | PageRank | References |
20 | 0.85 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pei-Yin Chen | 1 | 314 | 38.47 |
| Chien-Chuan Huang | 2 | 54 | 4.98 |
| Chih-Yuan Lien | 3 | 91 | 9.64 |
| Yu-Hsien Tsai | 4 | 20 | 0.85 |