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CVPR
2007
IEEE
16 years 6 months ago
Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video
We present a scalable approach to recognizing and describing complex activities in video sequences. We are interested in long-term, sequential activities that may have several par...
Benjamin Laxton, Jongwoo Lim, David J. Kriegman
CVPR
2007
IEEE
16 years 6 months ago
Flexible Object Models for Category-Level 3D Object Recognition
Today's category-level object recognition systems largely focus on fronto-parallel views of objects with characteristic texture patterns. To overcome these limitations, we pr...
Akash Kushal, Cordelia Schmid, Jean Ponce
CVPR
2008
IEEE
16 years 6 months ago
Combining brain computer interfaces with vision for object categorization
Human-aided computing proposes using information measured directly from the human brain in order to perform useful tasks. In this paper, we extend this idea by fusing computer vis...
Ashish Kapoor, Pradeep Shenoy, Desney S. Tan
ICCV
2003
IEEE
16 years 6 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
ECCV
2004
Springer
16 years 6 months ago
Synthesizing Dynamic Texture with Closed-Loop Linear Dynamic System
Dynamic texture can be defined as a temporally continuous and infinitely varying stream of images that exhibit certain temporal statistics. Linear dynamic system (LDS) represented ...
Lu Yuan, Fang Wen, Ce Liu, Heung-Yeung Shum