Name
Title | ||
|---|---|---|
Finding Coherent Motions And Semantic Regions In Crowd Scenes: A Diffusion And Clustering Approach |
Abstract | ||
|---|---|---|
This paper addresses the problem of detecting coherent motions in crowd scenes and subsequently constructing semantic regions for activity recognition. We first introduce a coarse-to-fine thermal-diffusion-based approach. It processes input motion fields (e.g., optical flow fields) and produces a coherent motion filed, named as thermal energy field. The thermal energy field is able to capture both motion correlation among particles and the motion trends of individual particles which are helpful to discover coherency among them. We further introduce a two-step clustering process to construct stable semantic regions from the extracted time-varying coherent motions. Finally, these semantic regions are used to recognize activities in crowded scenes. Experiments on various videos demonstrate the effectiveness of our approach. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-10590-1_49 | COMPUTER VISION - ECCV 2014, PT I |
Keywords | Field | DocType |
Thermal Energy,Motion Vector,Input Motion,Coherent Motion,Cluster Label | Computer vision,Activity recognition,Motion correlation,Computer science,Artificial intelligence,Cluster analysis,Optical flow,Motion vector | Conference |
Volume | ISSN | Citations |
8689 | 0302-9743 | 20 |
PageRank | References | Authors |
0.64 | 24 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weiyue Wang | 1 | 57 | 3.55 |
| Weiyao Lin | 2 | 732 | 68.05 |
| Yuanzhe Chen | 3 | 108 | 6.84 |
| Jianxin Wu | 4 | 3276 | 154.17 |
| Jingdong Wang | 5 | 4198 | 156.76 |
| Bin Sheng | 6 | 25 | 8.13 |