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» Objects and Occlusion from Motion Labeling
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IJCV
2006
236views more  IJCV 2006»
13 years 7 months ago
A Feature-based Approach for Dense Segmentation and Estimation of Large Disparity Motion
We present a novel framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences...
Josh Wills, Sameer Agarwal, Serge Belongie
ECCV
2004
Springer
14 years 9 months ago
Automatic Non-rigid 3D Modeling from Video
We present a robust framework for estimating non-rigid 3D shape and motion in video sequences. Given an input video sequence, and a user-specified region to reconstruct, the algori...
Lorenzo Torresani, Aaron Hertzmann
VL
1999
IEEE
134views Visual Languages» more  VL 1999»
13 years 11 months ago
Ambiguity in Visual Language Theory and Its Role in Diagram Parsing
To take advantage of the ever-increasing volume of diagrams in electronic form, it is crucial that we have methods for parsing diagrams. Once a structured, content-based descripti...
Robert P. Futrelle
ICRA
2007
IEEE
136views Robotics» more  ICRA 2007»
14 years 1 months ago
Interacting Object Tracking in Crowded Urban Areas
— Tracking in crowded urban areas is a daunting task. High crowdedness causes challenging data association problems. Different motion patterns from a wide variety of moving objec...
Chieh-Chih Wang, Tzu-Chien Lo, Shao-Wen Yang
ICMCS
2009
IEEE
219views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Moving targets labeling and correspondence over multi-camera surveillance system based on Markov network
In this paper, we propose an efficient way to simultaneously label and map targets over a multi-camera surveillance system. In the system, we first fuse the detection results from...
Chingchun Huang, Sheng-Jyh Wang