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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6075| Title: | Plan-view Trajectory Estimation with Dense Stereo Background Models |
| Issue Date: | 9-Oct-2013 |
| Description: | In a known environment, objects may be tracked in multiple views using a set of back-ground models. Stereo-based models can be illumination-invariant, but often have undefined values which inevitably lead to foreground classification errors. We derive dense stereo models for object tracking using long-term, extended dynamic-range imagery, and by detecting and interpolating uniform but unoccluded planar regions. Foreground points are detected quickly in new images using pruned disparity search. We adopt a 'late-segmentation' strategy, using an integrated plan-view density representation. Foreground points are segmented into object regions only when a trajectory is finally estimated, using a dynamic programming-based method. Object entry and exit are optimally determined and are not restricted to special spatial zones. |
| URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
| Other Identifiers: | AIM-2001-001 http://hdl.handle.net/1721.1/6075 |
| Appears in Collections: | MIT Items |
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