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» Objects and Occlusion from Motion Labeling
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IJCV
2006
236views more  IJCV 2006»
14 years 9 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
15 years 11 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»
15 years 1 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»
15 years 3 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
79
Voted
ICMCS
2009
IEEE
219views Multimedia» more  ICMCS 2009»
14 years 7 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