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CVPR
2008
IEEE
15 years 8 days ago
Multi-object shape estimation and tracking from silhouette cues
This paper deals with the 3D shape estimation from silhouette cues of multiple moving objects in general indoor or outdoor 3D scenes with potential static obstacles, using multipl...
Li Guan, Jean-Sébastien Franco, Marc Pollef...
CVPR
2001
IEEE
15 years 8 days ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
ICIP
2001
IEEE
14 years 12 months ago
Use of neural networks for behaviour understanding in railway transport monitoring applications
In the last years, the interest for advanced video-based surveillance applications is more and more growing. This is especially true in the field of railway urban transport where ...
Claudio Sacchi, Carlo S. Regazzoni, Gianluca Gera,...
ICVGIP
2008
13 years 11 months ago
Monocular Depth by Nonlinear Diffusion
Following the phenomenological approach of gestaltists, sparse monocular depth cues such as T- and X-junctions and the local convexity are crucial to identify the shape and depth ...
Jean-Michel Morel, Philippe Salembier
ALIFE
2007
13 years 10 months ago
A Synthetic Vision System Using Directionally Selective Motion Detectors to Recognize Collision
: Reliably recognizing objects approaching on a collision course is extremely important. In this paper, a synthetic vision system is proposed to tackle the problem of collision rec...
Shigang Yue, F. Claire Rind