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 […]
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 […]
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 […]
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 […]
Motion Based Decompositing Video Abstract We present a method to decompose video sequences into layers that represent the relative depths of complex scenes. Our method combines spatial information with temporal occlusions to determine relative depths of these layers. Spatial information is obtained through edge detection and a customized contour completion algorithm. Activity in a scene […]
Essa, I.A. Pentland, A.P. (1995), “Facial expression recognition using a dynamic model and motion energy”, In Proceedings of Fifth International Conference on Computer Vision, 1995, 20-23 June 1995, page(s): 360 – 367, 06/20/1995 – 06/23/1995, Cambridge, MA, ISBN: 0-8186-7042-8, INSPEC Accession Number:5028034 Digital Object Identifier: [DOI:10.1109/ICCV.1995.466916][IEEEXplore#] Abstract Previous efforts at facial expression recognition have been […]