The Community for Technology Leaders
Computer Vision, IEEE International Conference on (2011)
Barcelona, Spain
Nov. 6, 2011 to Nov. 13, 2011
ISBN: 978-1-4577-1101-5
pp: 2462-2469
Mustafa Ayazoglu , Dept. of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
Binlong Li , Dept. of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
Caglayan Dicle , Dept. of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
Mario Sznaier , Dept. of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
Octavia I. Camps , Dept. of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
ABSTRACT
This paper considers the problem of sustained multicamera tracking in the presence of occlusion and changes in the target motion model. The key insight of the proposed method is the fact that, under mild conditions, the 2D trajectories of the target in the image planes of each of the cameras are constrained to evolve in the same subspace. This observation allows for identifying, at each time instant, a single (piecewise) linear model that explains all the available 2D measurements. In turn, this model can be used in the context of a modified particle filter to predict future target locations. In the case where the target is occluded to some of the cameras, the missing measurements can be estimated using the facts that they must lie both in the subspace spanned by previous measurements and satisfy epipolar constraints. Hence, by exploiting both dynamical and geometrical constraints the proposed method can robustly handle substantial occlusion, without the need for performing 3D reconstruction, calibrated cameras or constraints on sensor separation. The performance of the proposed tracker is illustrated with several challenging examples involving targets that substantially change appearance and motion models while occluded to some of the cameras.
INDEX TERMS
CITATION

M. Ayazoglu, C. Dicle, B. Li, O. I. Camps and M. Sznaier, "Dynamic subspace-based coordinated multicamera tracking," 2011 IEEE International Conference on Computer Vision (ICCV 2011)(ICCV), Barcelona, 2011, pp. 2462-2469.
doi:10.1109/ICCV.2011.6126531
206 ms
(Ver 3.3 (11022016))