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CVPR
2007
IEEE
16 years 5 months ago
Online Learning Asymmetric Boosted Classifiers for Object Detection
We present an integrated framework for learning asymmetric boosted classifiers and online learning to address the problem of online learning asymmetric boosted classifiers, which ...
Minh-Tri Pham, Tat-Jen Cham
ICCV
1999
IEEE
16 years 5 months ago
Segmentation using Eigenvectors: A Unifying View
Automatic grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated good performance on this task using...
Yair Weiss
CVPR
2004
IEEE
16 years 5 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...
ACCV
2007
Springer
15 years 9 months ago
Backward Segmentation and Region Fitting for Geometrical Visibility Range Estimation
Abstract. We present a new application of computer vision: continuous measurement of the geometrical visibility range on inter-urban roads, solely based on a monocular image acquis...
Erwan Bigorgne, Jean-Philippe Tarel
130
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CVPR
2010
IEEE
15 years 11 months ago
Moving Vistas: Exploiting Motion for Describing Scenes
Scene recognition in an unconstrained setting is an open and challenging problem with wide applications. In this paper, we study the role of scene dynamics for improved representa...
Nitesh Shroff, Pavan Turaga, Rama Chellappa