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CVPR
2004
IEEE
14 years 9 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
ECCV
2002
Springer
14 years 9 months ago
Tracking and Object Classification for Automated Surveillance
In this paper we discuss the issues that need to be resolved before fully automated outdoor surveillance systems can be developed, and present solutions to some of these problems. ...
Omar Javed, Mubarak Shah
KDD
2007
ACM
198views Data Mining» more  KDD 2007»
14 years 8 months ago
Applying Link-Based Classification to Label Blogs
In analyzing data from social and communication networks, we encounter the problem of classifying objects where there is an explicit link structure amongst the objects. We study t...
Smriti Bhagat, Graham Cormode, Irina Rozenbaum
SAC
2008
ACM
13 years 7 months ago
An objective way to evaluate and compare binarization algorithms
The choice of the best binarization algorithm is very critical for any document image processing system, since it is one of the first tasks and any mistake it performs will be car...
Ergina Kavallieratou
CVPR
2005
IEEE
14 years 9 months ago
Multilabel Random Walker Image Segmentation Using Prior Models
The recently introduced random walker segmentation algorithm of [14] has been shown to have desirable theoretical properties and to perform well on a wide variety of images in pra...
Leo Grady