Name
Title | ||
|---|---|---|
Multi-View ML Object Tracking With Online Learning on Riemannian Manifolds by Combining Geometric Constraints. |
Abstract | ||
|---|---|---|
This paper addresses issues in object tracking with occlusion scenarios, where multiple uncalibrated cameras with overlapping fields of view are exploited. We propose a novel method where tracking is first done independently in each individual view and then tracking results are mapped from different views to improve the tracking jointly. The proposed tracker uses the assumptions that objects are v... |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/JETCAS.2013.2256814 | IEEE Journal on Emerging and Selected Topics in Circuits and Systems |
Keywords | Field | DocType |
cameras,differential geometry,Gaussian distribution,learning (artificial intelligence),maximum likelihood estimation,object tracking,video signal processing | Computer vision,Epipolar geometry,Similarity measure,Computer science,Video tracking,Homography,Artificial intelligence,Vanishing point,Manifold,Geodesic,Minimum bounding box | Journal |
Volume | Issue | ISSN |
3 | 2 | 2156-3357 |
Citations | PageRank | References |
3 | 0.38 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yixiao Yun | 1 | 36 | 5.09 |
| Irene Yu-Hua Gu | 2 | 613 | 35.06 |
| Hamid K. Aghajan | 3 | 282 | 35.49 |