ICCV
Paper in ICCV 2011: "Gaussian Process Regression Flow for Analysis of Motion Trajectories"
Paper/Citation Abstract Analysis and Recognition of motions and activities of objects in videos requires effective representations for analysis and matching of motion trajectories. In this paper, we introduce a new representation specifically aimed at matching motion trajectories. We model a trajectory as a continuous dense flow field from a sparse set of vector sequences using […]
Paper: ICCV 2007, "Structure from Statistics – Unsupervised Activity Analysis using Suffix Trees"
R. Hamid, S. Maddi, A. Bobick, I. Essa (2007). Structure from Statistics – Unsupervised Activity Analysis using Suffix Trees, At the International Conference on Computer Vision 2007. October 2007, Rio de Janeiro, BRAZIL [PDF][DOI] Abstract Models of activity structure for unconstrained environments are generally not available a priori. Recent representational approaches to this end are limited by […]
Paper: ICCV (2003) "Spectral partitioning for structure from motion"
Steedly, D., Essa, I., Dellaert, F. (2003), “Spectral partitioning for structure from motion”, In Proceedings. Ninth IEEE International Conference on Computer Vision, 2003, 13-16 Oct. 2003, page(s): 996 – 1003 vol.2, Nice, France, ISBN: 0-7695-1950-4, INSPEC Accession Number:7971018, Digital Object Identifier: 10.1109/ICCV.2003.1238457, [IEEEXplore#] Abstract We propose a spectral partitioning approach for large-scale optimization problems, specifically […]
Paper: ICCV (2001) "Propagation of innovative information in non-linear least-squares structure from motion"
Steedly, D. Essa, I. (2001) “Propagation of innovative information in non-linear least-squares structure from motion” In Proceedings. Eighth IEEE International Conference on Computer Vision, 2001. ICCV 2001. 7-14 July 2001, Volume: 2, page(s): 223 – 229 vol.2, 07/07/2001 – 07/14/2001, Vancouver, BC, ISBN: 0-7695-1143-0, INSPEC Accession Number:7024285, DOI: 10.1109/ICCV.2001.937628, [IEEEXplore#] Abstract We present a new […]
Paper ICCV (1009): Exploiting Human Actions and Object Context for Recognition Tasks
D. J. Moore, I. Essa, and M. Hayes (1999) “Exploiting Human Actions and Object Context for Recognition Tasks.” In Proceedings of Seventh International Conference on Computer Vision (ICCV’99), Volume 1, p. 80, Sept 20, 1999. ISBN: 0-7695-0164-8. [ DOI | PDF | Project Site] Abstract Our goal is to exploit human motion and object context […]