Name
Abstract | ||
|---|---|---|
Tracking multiple persons is a challenging task when persons move in groups and occlude each other. Existing group-based methods have extensively investigated how to make group division more accurately in a tracking-by-detection framework; however, few of them quantify the group dynamics from the perspective of targets' spatial topology or consider the group in a dynamic view. Inspired by the soci... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TIP.2017.2708901 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Target tracking,Topology,Dynamics,Vehicle dynamics,Optimization,Trajectory | Topology,Computer vision,Data set,Gradient descent,Vehicle dynamics,Artificial intelligence,RGB color model,Jump,Trajectory,Stable group,Mathematics,Group tracking | Journal |
Volume | Issue | ISSN |
26 | 12 | 1057-7149 |
Citations | PageRank | References |
3 | 0.40 | 41 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shan Gao | 1 | 88 | 15.15 |
| Qixiang Ye | 2 | 913 | 64.51 |
| Junliang Xing | 3 | 1193 | 63.31 |
| Arjan Kuijper | 4 | 1063 | 133.22 |
| Zhenjun Han | 5 | 176 | 16.40 |
| Jianbin Jiao | 6 | 367 | 32.61 |
| Xiangyang Ji | 7 | 533 | 73.14 |