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» Modeling Moving Objects over Multiple Granularities
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CVPR
2010
IEEE
14 years 5 months ago
Object-Graphs for Context-Aware Category Discovery
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...
Yong Jae Lee, Kristen Grauman
CVPR
1998
IEEE
14 years 10 months ago
Using Adaptive Tracking to Classify and Monitor Activities in a Site
We describe a vision system that monitors activity in a site over extended periods of time. The system uses a distributed set of sensors to cover the site, and an adaptive tracker...
W. Eric L. Grimson, Chris Stauffer, R. Romano, L. ...
ICMCS
2006
IEEE
137views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Relative Depth Layer Extraction for Monoscopic Video by Use of Multidimensional Filter
This paper presents a relative depth layer extraction system for monoscopic video, using multi-line filters and a layer selection algorithm. Main ideas are to extract multiple li...
Jing-Ying Chang, Chao-Chung Cheng, Shao-Yi Chien, ...
ICIP
2004
IEEE
14 years 10 months ago
Audio-visual flow -a variational approach to multi-modal flow estimation
Just as a motion field is associated to a moving object, an audio field can be associated to an object that can behave as a sound source. The flow field of such a sound source whi...
Raffay Hamid, Aaron F. Bobick, Anthony J. Yezzi
ICCV
2011
IEEE
12 years 8 months ago
Discovering Object Instances from Scenes of Daily Living
We propose an approach to identify and segment objects from scenes that a person (or robot) encounters in Activities of Daily Living (ADL). Images collected in those cluttered sce...
Hongwen Kang, Martial Hebert, Takeo Kanade