Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/84196
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Type: | Conference paper |
Title: | An analytical formulation of global occlusion reasoning for multi-target tracking |
Author: | Milan, A. Roth, S. Schindler, K. |
Citation: | 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops): pp. 1839-1846 |
Publisher: | IEEE |
Publisher Place: | USA |
Issue Date: | 2011 |
ISBN: | 9781467300629 |
Conference Name: | IEEE International Conference on Computer Vision Workshops (2011 : Barcelona, Spain) |
Statement of Responsibility: | Anton Andriyenko, Stefan Roth, Konrad Schindler |
Abstract: | We present a principled model for occlusion reasoning in complex scenarios with frequent inter-object occlusions, and its application to multi-target tracking. To compute the putative overlap between pairs of targets, we represent each target with a Gaussian. Conveniently, this leads to an analytical form for the relative overlap - another Gaussian - which is combined with a sigmoidal term for modeling depth relations. Our global occlusion model bears several advantages: Global target visibility can be computed efficiently in closed-form, and varying degrees of partial occlusion can be naturally accounted for. Moreover, the dependence of the occlusion on the target locations - i.e. the gradient of the overlap - can also be computed in closed-form, which makes it possible to efficiently include the proposed occlusion model in a continuous energy minimization framework. Experimental results on seven datasets confirm that the proposed formulation consistently reduces missed targets and lost trajectories, especially in challenging scenarios with crowds and severe inter-object occlusions. |
Rights: | ©2011 IEEE |
DOI: | 10.1109/ICCVW.2011.6130472 |
Published version: | http://dx.doi.org/10.1109/iccvw.2011.6130472 |
Appears in Collections: | Aurora harvest Computer Science publications |
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RA_hdl_84196.pdf Restricted Access | Restricted Access | 2.59 MB | Adobe PDF | View/Open |
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