Abstract | ||
---|---|---|
Pedestrian detection is an important example of object detection and has attracted much attention. Many works have shown that good image features provide high detection accuracy, and a few works have investigated enhancing low-level features (e.g., gradient and color features) using a filtered layer (i.e., convolutional layer) to obtain enhanced features or filtered channel features. To investigat... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TITS.2018.2807199 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Feature extraction,Nonhomogeneous media,Deformable models,Convolution,Image color analysis,Kernel,Semantics | Computer vision,Object detection,Histogram,Color space,Feature (computer vision),Communication channel,Chrominance,Feature extraction,Artificial intelligence,Engineering,Pedestrian detection | Journal |
Volume | Issue | ISSN |
19 | 5 | 1524-9050 |
Citations | PageRank | References |
1 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mingyu You | 1 | 160 | 16.22 |
Yubin Zhang | 2 | 1 | 0.34 |
Chunhua Shen | 3 | 4817 | 234.19 |
Xinyu Zhang | 4 | 1 | 1.02 |