Robust two-camera tracking using homography
| Title | Robust two-camera tracking using homography |
| Publication Type | Conference Papers |
| Year of Publication | 2004 |
| Authors | Yue Z, Zhou SK, Chellappa R |
| Conference Name | Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on |
| Date Published | 2004/05// |
| Keywords | Carlo, filter;, filters;, frame, framework;, homography;, image, method;, methods;, Monte, nonlinear, occlusions;, optical, particle, processing;, robust, sequences;, sequential, signal, statistics;, tracking, tracking;, two, two-camera, video, view, visual |
| Abstract | The paper introduces a two view tracking method which uses the homography relation between the two views to handle occlusions. An adaptive appearance-based model is incorporated in a particle filter to realize robust visual tracking. Occlusion is detected using robust statistics. When there is occlusion in one view, the homography from this view to other views is estimated from previous tracking results and used to infer the correct transformation for the occluded view. Experimental results show the robustness of the two view tracker. |
| DOI | 10.1109/ICASSP.2004.1326466 |