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» Multiple Object Class Detection with a Generative Model
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CVPR
2006
IEEE
16 years 4 months ago
Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community. For example, the flexible sprites framework has been...
Nebojsa Jojic, John M. Winn, Larry Zitnick
SPIESR
2004
196views Database» more  SPIESR 2004»
15 years 3 months ago
Automatic textual annotation of video news based on semantic visual object extraction
In this paper, we present our work for automatic generation of textual metadata based on visual content analysis of video news. We present two methods for semantic object detectio...
Nozha Boujemaa, François Fleuret, Val&eacut...
ISRR
2005
Springer
178views Robotics» more  ISRR 2005»
15 years 7 months ago
Improved Estimation of Target Velocity Using Multiple Model Estimation and a Dynamic Bayesian Network for a Robotic Tracker of O
A vision-based automatic tracking system for ocean animals in the midwater has been demonstrated in Monterey Bay, CA. Currently, the input to this system is a measurement of relati...
Aaron Plotnik, Stephen Rock
120
Voted
CVPR
2010
IEEE
15 years 10 months ago
Toward Coherent Object Detection And Scene Layout Understanding
Detecting objects in complex scenes while recovering the scene layout is a critical functionality in many vision-based applications. Inspired by the work of [18], we advocate the ...
Yingze Bao, Min Sun, Silvio Savarese
119
Voted
ICCV
2003
IEEE
16 years 4 months ago
Minimally-Supervised Classification using Multiple Observation Sets
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
Chris Stauffer