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: […]
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.
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 […]
Darrell, T.J.; Essa, I.A.; Pentland, A.P., “Task-specific gesture analysis in real-time using interpolated views” Transactions on Pattern Analysis and Machine Intelligence , vol.18, no.12, pp.1236-1242, Dec 1996 URL: [ieeexplore.ieee.org] [DOI] Abstract Hand and face gestures are modeled using an appearance-based approach in which patterns are represented as a vector of similarity scores to a set […]