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» Tracking objects in video using motion and appearance models
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CVPR
1998
IEEE
14 years 10 months ago
Background Modeling for Segmentation of Video-Rate Stereo Sequences
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...
ECCV
2004
Springer
14 years 1 months ago
Multi-model Component-Based Tracking Using Robust Information Fusion
Abstract. One of the most difficult aspects of visual object tracking is the handling of occlusions and target appearance changes due to variations in illumination and viewing dir...
Bogdan Georgescu, Dorin Comaniciu, Tony X. Han, Xi...

Lab
815views
14 years 11 months ago
Video/Image Modeling and Synthesis (VIMS) Lab
VIMS Lab is situated in Department of Computer & Information Sc, University of Delaware, Newark, DE. USA. At VIMS we work on various problems related to image/video processing...
ECCV
2002
Springer
14 years 10 months ago
Robust Parameterized Component Analysis
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
Fernando De la Torre, Michael J. Black
ICB
2007
Springer
139views Biometrics» more  ICB 2007»
14 years 10 days ago
Tracking and Recognition of Multiple Faces at Distances
Many applications require tracking and recognition of multiple faces at distances, such as in video surveillance. Such a task, dealing with non-cooperative objects is more challeng...
Rong Liu, Xiufeng Gao, Rufeng Chu, XiangXin Zhu, S...