Activity Recognition

September 2, 2010 / Last updated : January 5, 2020 irfan Activity Recognition

In the News (2010): DARPA Awards Kitware a $13.8 Million Contract for Online Threat Detection and Forensic Analysis in Wide-Area Motion Imagery

via Kitware – News: DARPA Awards Kitware a $13.8 Million Contract for Online Threat Detection and Forensic Analysis in Wide-Area Motion Imagery. Kitware has received a $13,883,314 contract from Defense Advanced Research Projects Agency (DARPA) to develop a software system capable of automatically and interactively discovering actionable intelligence from wide area motion imagery (WAMI) of complex […]
June 13, 2010 / Last updated : September 1, 2020 irfan Activity Recognition

Paper in CVPR (2010): "Motion Field to Predict Play Evolution in Dynamic Sport Scenes

Kihwan Kim, Matthias Grundmann, Ariel Shamir, Iain Matthews, Jessica Hodgins, Irfan Essa (2010) “Motion Field to Predict Play Evolution in Dynamic Sport Scenes” in Proceedings of IEEE Computer Vision and Pattern Recognition Conference (CVPR), San Francisco, CA, USA, June 2010 [PDF][Website][DOI][Video (Youtube)]. Abstract Videos of multi-player team sports provide a challenging domain for dynamic scene analysis. Player actions […]
June 13, 2010 / Last updated : March 24, 2023 irfan Activity Recognition

Paper in CVPR (2010): "Player Localization Using Multiple Static Cameras for Sports Visualization"

Raffay Hamid, Ram Krishan Kumar, Matthias Grundmann, Kihwan Kim, Irfan Essa, Jessica Hodgins (2010), “Player Localization Using Multiple Static Cameras for Sports Visualization” In Proceedings of IEEE Computer Vision and Pattern Recognition Conference (CVPR), San Francisco, CA, USA, June 2010 [PDF][Website][DOI][Video (Youtube)]. Abstract We present a novel approach for robust localization of multiple people observed using multiple […]
April 1, 2010 / Last updated : September 1, 2020 irfan Activity Recognition

CVPR 2010: Accepted Papers

We have the following 4 papers that have been accepted for publications in IEEE CVPR 2010. More details forthcoming, with links to more details. Matthias Grundmann, Vivek Kwatra, Mei Han, and Irfan Essa (2010) “Discontinuous Seam-Carving for Video Retargeting” (a GA Tech, Google Collaboration) Matthias Grundmann, Vivek Kwatra, Mei Han, and Irfan Essa (2010) “Efficient Hierarchical Graph-Based Video […]
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 […]
June 18, 2008 / Last updated : January 5, 2020 irfan Activity Recognition

Thesis Raffay Hamid PhD (2008): "A Computational Framework For Unsupervised Analysis of Everyday Human Activities"

M. Raffay Hamid PhD (2008), “A Computational Framework For Unsupervised Analysis of Everyday Human Activities“, PhD Thesis, Georgia Institute of Techniology, College of Computing, Atlanta, GA. (Advisor: Aaron Bobick & Irfan Essa) Abstract In order to make computers proactive and assistive, we must enable them to perceive, learn, and predict what is happening in their surroundings. […]
July 24, 2007 / Last updated : March 24, 2023 irfan Activity Recognition

Paper: AAAI 2007: "Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning"

Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning Abstract The problem of locating motifs in real-valued, multivariate time series data involves the discovery of sets of recurring patterns embedded in the time series. Each set is composed of several non-overlapping subsequences and constitutes a motif because all of the included subsequences are […]
October 14, 2006 / Last updated : January 5, 2020 irfan Activity Recognition

Paper: IEEE ISWC (2006) "Discovering Characteristic Actions from On-Body Sensor Data"

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: […]
April 9, 2004 / Last updated : January 5, 2020 irfan Activity Recognition

Thesis: Gabriel Brostow's PhD (2004): "Novel Skeletal Representation for Articulated Creatures"

We define a Spine as a branching axial structure representing the shape and topology of a 3D objects limbs, and capturing the limbs correspondence and motion over time. … In general, our approach combines the objectives of generalized cylinders, 3D scanning, and markerless motion capture to generate baseline models from real puppets, animals, and human subjects.
September 29, 2002 / Last updated : January 5, 2020 irfan Activity Recognition

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 […]