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ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
16 years 11 months ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool
CVPR
2004
IEEE
16 years 8 months ago
Robust Color Object Detection Using Spatial-Color Joint Probability Functions
Object detection in unconstrained images is an important image understanding problem with many potential applications. There has been little success in creating a single algorithm...
David J. Crandall, Jiebo Luo
CVPR
2006
IEEE
16 years 8 months ago
Accurate Face Alignment using Shape Constrained Markov Network
In this paper, we present a shape constrained Markov network for accurate face alignment. The global face shape is defined as a set of weighted shape samples which are integrated ...
Lin Liang, Fang Wen, Ying-Qing Xu, Xiaoou Tang, He...
CVPR
2007
IEEE
16 years 8 months ago
Recognizing objects by piecing together the Segmentation Puzzle
We present an algorithm that recognizes objects of a given category using a small number of hand segmented images as references. Our method first over segments an input image into...
Jianbo Shi, Timothée Cour
CVPR
2008
IEEE
16 years 8 months ago
Enforcing convexity for improved alignment with constrained local models
Constrained local models (CLMs) have recently demonstrated good performance in non-rigid object alignment/tracking in comparison to leading holistic approaches (e.g., AAMs). A maj...
Yang Wang, Simon Lucey, Jeffrey F. Cohn