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» Sequential Learning of Layered Models from Video
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ICRA
2005
IEEE
162views Robotics» more  ICRA 2005»
15 years 5 months ago
Learning to Track Multiple People in Omnidirectional Video
— Meetings are a very important part of everyday life for professionals working in universities, companies or governmental institutions. We have designed a physical awareness sys...
Fernando De la Torre, Carlos Vallespí, Paul...
CVPR
2007
IEEE
16 years 1 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
ICMCS
2006
IEEE
119views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Video News Shot Labeling Refinement via Shot Rhythm Models
We present a three-step post-processing method for increasing the precision of video shot labels in the domain of television news. First, we demonstrate that news shot sequences c...
John R. Kender, Milind R. Naphade
CVPR
2009
IEEE
16 years 7 months ago
Learning color and locality cues for moving object detection and segmentation
This paper presents an algorithm for automatically detecting and segmenting a moving object from a monocular video. Detecting and segmenting a moving object from a video with limit...
Feng Liu (University of Wisconsin-Madison), Michae...
NIPS
2000
15 years 1 months ago
Learning Joint Statistical Models for Audio-Visual Fusion and Segregation
People can understand complex auditory and visual information, often using one to disambiguate the other. Automated analysis, even at a lowlevel, faces severe challenges, includin...
John W. Fisher III, Trevor Darrell, William T. Fre...