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» Improved Graphical Model for Audiovisual Object Tracking
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ICCV
2007
IEEE
15 years 11 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis
ICB
2007
Springer
139views Biometrics» more  ICB 2007»
15 years 1 months 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...
APGV
2004
ACM
124views Visualization» more  APGV 2004»
15 years 1 months ago
An experimental approach to predicting saliency for simplified polygonal models
In this paper, we consider the problem of determining feature saliency for 3D objects and describe a series of experiments that examined if salient features exist and can be predi...
Sarah Howlett, John Hamill, Carol O'Sullivan
ICIP
2008
IEEE
15 years 4 months ago
Boosted Interactively Distributed Particle Filter for automatic multi-object tracking
In this paper, we propose a Boosted Interactively Distributed Particle Filter (BIDPF) to address the problem of automatic multi-object tracking in the application of player tracki...
Yi Wu, Xiaofeng Tong, Yimin Zhang, Hanqing Lu
CVPR
1998
IEEE
15 years 11 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...