Name
Abstract | ||
|---|---|---|
This paper presents a method, called AOGTracker, for simultaneously tracking, learning and parsing (TLP) of unknown objects in video sequences with a hierarchical and compositional And-Or graph (AOG) representation. The TLP method is formulated in the Bayesian framework with a spatial and a temporal dynamic programming (DP) algorithms inferring object bounding boxes on-the-fly. During online learn... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TPAMI.2016.2644963 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | DocType | Volume |
Computational modeling,Hidden Markov models,Object tracking,Benchmark testing,Trajectory,Dynamic programming | Journal | 39 |
Issue | ISSN | Citations |
12 | 0162-8828 | 1 |
PageRank | References | Authors |
0.38 | 53 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tianfu Wu | 1 | 331 | 26.72 |
| yang lu | 2 | 74 | 5.42 |
| Song-Chun Zhu | 3 | 6580 | 741.75 |