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 […]
R. Hamid, S. Maddi, A. Bobick, I. Essa. “Unsupervised Analysis of Activity Sequences Using Event Motifs”, In proceedings of 4th ACM International Workshop on Video Surveillance and Sensor Networks (in conjunction with ACM Multimedia 2006). Abstract We present an unsupervised framework to discover characterizations of everyday human activities, and demonstrate how such representations can be […]
Discovering Characteristic Actions from On-Body Sensor Data (IEEEXplore) Minnen, D. Starner, T. Essa, I. Isbell, C. College of Computing, Georgia Institute of Technology, Atlanta, GA 30332 USA. This paper appears in: Wearable Computers, 2006 10th IEEE International Symposium on Publication Date: Oct. 2006 On page(s): 11 – 18 Number of Pages: 11 – 18 Location: […]
Yifan Shi, Bobick, A. Essa, I. (2006), “Learning Temporal Sequence Model from Partially Labeled Data” Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006 Volume: 2, page(s): 1631 – 1638, ISSN: 1063-6919, ISBN: 0-7695-2597-0, Digital Object Identifier: 10.1109/CVPR.2006.174 [IEEEXplore] Abstract Graphical models are often used to represent and recognize activities. Purely […]
Huang, Y and Essa, I. (2005) “Tracking multiple objects through occlusions”, In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005 (CVPR 2005), Volume: 2 page(s): 1051 – 1058 vol. 2, ISSN: 1063-6919, ISBN: 0-7695-2372-2, INSPEC Accession Number:8633324 DOI: 10.1109/CVPR.2005.350, [IEEEXplore#] 20-25 June 2005 ABSTRACT We present an approach for tracking […]
Irfan Essa (2004), “Temporal Reasoning from Video to Temporal Synthesis of Video” Talk at USC’s IRIS-Vision Seminars (Fall 2004). Temporal Reasoning from Video to Temporal Synthesis of Video Abstract In this talk, I will present some ongoing work on extracting spatio-temporal cues from video for both synthesis of novel video sequences, and recognition of complex […]
Paper: IEEE CVPR (2004) "Propagation networks for recognition of partially ordered sequential action"
Yifan Shi, Yan Huang, Minnen, D., Bobick, A., Essa, I. (2004), “Propagation networks for recognition of partially ordered sequential action” In Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004 (CVPR 2004). Volume: 2, page(s): II-862 – II-869 Vol.2, ISSN: 1063-6919, ISBN: 0-7695-2158-4, INSPEC Accession Number:8161557, Digital Object Identifier: […]
Paper AAAI (2002): "Recognizing Multitasked Activities from Video using Stochastic Context-Free Grammar"
D. Moore and I. Essa (2002). “Recognizing multitasked activities from video using stochastic context-free grammar”, in Proceedings of AAAI 2002. [PDF | Project Site] Abstract In this paper, we present techniques for recognizing com- plex, multitasked activities from video. Visual information like image features and motion appearances, combined with domain-specific information, like object context is […]
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 […]