Name
Abstract | ||
|---|---|---|
Tracking and re-identification in wide-area camera networks is a challenging problem due to non-overlapping visual fields, varying imaging conditions, and appearance changes. We consider the problem of person re-identification and tracking, and propose a novel clothing context-aware color extraction method that is robust to such changes. Annotated samples are used to learn color drift patterns in a non-parametric manner using the random forest distance (RFD) function. The color drift patterns are automatically transferred to associate objects across different views using a unified graph matching framework . A hypergraph representation is used to link related objects for search and re-identification. A diverse hypergraph ranking technique is proposed for person-focused network summarization . The proposed algorithm is validated on a wide-area camera network consisting of ten cameras on bike paths. Also, the proposed algorithm is compared with the state of the art person re-identification algorithms on the VIPeR dataset . |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TMM.2015.2496139 | Multimedia, IEEE Transactions |
Keywords | Field | DocType |
Image color analysis,Cameras,Histograms,Topology,Training | Histogram,Computer vision,Automatic summarization,Pattern recognition,Ranking,Computer science,Hypergraph,Camera network,Matching (graph theory),Artificial intelligence,Random forest | Journal |
Volume | Issue | ISSN |
18 | 1 | 1520-9210 |
Citations | PageRank | References |
12 | 0.55 | 38 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Santhoshkumar Sunderrajan | 1 | 41 | 4.89 |
| B. S. Manjunath | 2 | 7561 | 783.37 |