Name
Title | ||
|---|---|---|
Synergizing Appearance and Motion With Low Rank Representation for Vehicle Counting and Traffic Flow Analysis. |
Abstract | ||
|---|---|---|
Appearance and motion, which are complementary, account for a dominant proportion of visual information. We propose to synergize them using a low-rank representation framework for the estimation and analysis of traffic flow. Taking advantage of the downward-looking camera configuration, we do the processing only on the measure line, called virtual gantry, instead of dealing with the whole frame, r... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TITS.2017.2757040 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Spatiotemporal phenomena,Vehicle detection,Robustness,Lighting,Cameras,Matrix decomposition,Training | Computer vision,Traffic flow,Normalization (statistics),Flow (psychology),Matrix decomposition,Robust principal component analysis,Vehicle detection,Robustness (computer science),Artificial intelligence,Pixel,Engineering | Journal |
Volume | Issue | ISSN |
19 | 8 | 1524-9050 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhi Gao | 1 | 33 | 10.15 |
| Ruifang Zhai | 2 | 5 | 2.12 |
| pengfei wang | 3 | 75 | 16.56 |
| Xu Yan | 4 | 5 | 3.55 |
| Hailong Qin | 5 | 8 | 1.12 |
| Yazhe Tang | 6 | 39 | 11.54 |
| Ramesh Bharath | 7 | 47 | 8.96 |