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September 20, 2009 / Last updated : September 20, 2009 irfan Activity Recognition

Paper in Artificial Intelligence (2009): "A novel sequence representation for unsupervised analysis of human activities"

A novel sequence representation for unsupervised analysis of human activities Raffay Hamid, Siddhartha Maddi, Amos Johnson, Aaron Bobick, Irfan Essaand Charles Isbell (2009) “A novel sequence representation for unsupervised analysis of human activities” in Artificial Intelligence, Volume 173, Issue 14, September 2009, Pages 1221-1244. [PDF][DOI][Science Direct] Abstract Formalizing computational models for everyday human activities remains […]
October 15, 2007 / Last updated : February 21, 2021 irfan ICCV

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 […]
October 23, 2006 / Last updated : February 21, 2021 irfan Publication

Paper: ACM IWVSSN (2006) on “Unsupervised Analysis of Activity Sequences Using Event Motifs”

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 […]
June 14, 2006 / Last updated : February 21, 2021 irfan CVPR

Paper: IEEE CVPR (2006) on “Learning Temporal Sequence Model from Partially Labeled Data”

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 […]
June 20, 2005 / Last updated : February 21, 2021 irfan CVPR

Paper: IEEE CVPR (2005) "Tracking multiple objects through occlusions"

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 […]
October 30, 2004 / Last updated : February 21, 2021 irfan Presentations

Talk at USC's IRIS (2004): "Temporal Reasoning from Video to Temporal Synthesis of Video"

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 […]
June 2, 2004 / Last updated : February 18, 2021 irfan CVPR

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: […]