Computer Vision

June 1, 2010 / Last updated : January 5, 2020 irfan Visual Surviellance

Funding (2010): DARPA Funding on "PERSISTENT STARE EXPLOITATION AND ANALYSIS SYSTEM (PERSEAS)"

 Persistent Stare Exploitation and Analysis System (PerSEAS) Part of the team led by Kitware Inc to work on Defense Advanced Research Projects Agency – Persistent Stare Exploitation and Analysis System (PerSEAS). The Persistent Stare Exploitation and Analysis System (PerSEAS) program is developing the capability to automatically and interactively identify potential threats as they emerge based on the […]
October 29, 2009 / Last updated : March 24, 2023 irfan Activity Recognition

Paper in Advanced Robotics (2009): "Human Action Recognition Using Global Point Feature Histograms and Action Shapes"

Radu Bogdan Rusu, Jan Bandouch, Franziska Meier, Irfan Essa and Michael Beetz (2009) “Human Action Recognition Using Global Point Feature Histograms and Action Shapes”, in Journal of Advanced Robotics, volume 23, pages 1873–1908, Koninklijke Brill NV, Leiden and The Robotics Society of Japan, 2009. [ DOI | PDF] Abstract This paper investigates the recognition of […]
October 20, 2009 / Last updated : January 5, 2020 irfan Computational Journalism

Paper ISMAR 2009: "Augmenting Aerial Earth Maps with Dynamic Information"

Augmenting Aerial Earth Maps with Dynamic Information [bibtex file=IrfanEssaWS.bib key=2009-Kim-AAEMWDI] Abstract We introduce methods for augmenting aerial visualizations of Earth (from tools such as Google Earth or Microsoft Virtual Earth) with dynamic information obtained from videos. Our goal is to make Augmented Earth Maps that visualize the live broadcast of dynamic sceneries within a city. […]
May 26, 2009 / Last updated : September 2, 2020 irfan Presentations

Presentation at International Workshop on Video (2009) on “Temporal Representations of Video for Analysis and Synthesis”

“Temporal Representations of Video for Analysis and Synthesis” at IWV09: International Workshop on Video, In Barcelona, SPAIN, May 25-27, 2009. (Slides, NO Video) Abstract I will present a variety of temporal models of video that we have been studying (and developing on) for analysis and synthesis of video. Forsynthesis of videos, we have been developing representations […]
March 1, 2009 / Last updated : January 5, 2020 irfan Computational Photography and Video

Paper (2009) In ACM Symposium on Interactive 3D Graphics "Human Video Textures"

  Matthew Flagg, Atsushi Nakazawa, Qiushuang Zhang, Sing Bing Kang, Young Kee Ryu, Irfan Essa, James M. Rehg (2009), Human Video Textures In Proceedings of the ACM Symposium on Interactive 3D Graphics and Games 2009 (I3D ’09), Boston, MA, February 27-March 1 (Fri-Sun), 2009 [PDF (see Copyright) | Video in DiVx | Website ] Abstract This paper describes a data-driven approach […]
June 17, 2007 / Last updated : September 1, 2020 irfan Computational Photography and Video

Paper: IEEE CVPR (2007) "Tree-based Classifiers for Bilayer Video Segmentation"

Yin, Pei Criminisi, Antonio Winn, John Essa, Irfan (2007), Tree-based Classifiers for Bilayer Video Segmentation In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2007. CVPR ’07, 17-22 June 2007, page(s): 1 – 8, Location: Minneapolis, MN, USA, ISBN: 1-4244-1180-7, Digital Object Identifier: 10.1109/CVPR.2007.383008 Abstract This paper presents an algorithm for the automatic segmentation of monocular videos […]
October 23, 2006 / Last updated : February 21, 2021 irfan Publications

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 […]