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97
Voted
ACIVS
2010
Springer
14 years 10 months ago
Exploiting Neighbors for Faster Scanning Window Detection in Images
Detection of objects through scanning windows is widely used and accepted method. The detectors traditionally do not make use of information that is shared between neighboring imag...
Pavel Zemcík, Michal Hradis, Adam Herout
ICCV
2009
IEEE
1198views Computer Vision» more  ICCV 2009»
16 years 5 months ago
Implicit Color Segmentation Features for Pedestrian Detection
We investigate the problem of pedestrian detection in still images. Sliding window classifiers, notably using the Histogram-of-Gradient (HOG) features proposed by Dalal and Trig...
Patrick Ott and Mark Everingham
98
Voted
CVPR
2007
IEEE
16 years 2 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
95
Voted
CVPR
2008
IEEE
16 years 2 months ago
Histogram-based search: A comparative study
Histograms represent a popular means for feature representation. This paper is concerned with the problem of exhaustive histogram-based image search. Several standard histogram co...
Mikhail Sizintsev, Konstantinos G. Derpanis, Andre...
ICCV
2003
IEEE
16 years 2 months ago
Recognition with Local Features: the Kernel Recipe
Recent developments in computer vision have shown that local features can provide efficient representations suitable for robust object recognition. Support Vector Machines have be...
Christian Wallraven, Barbara Caputo, Arnulf B. A. ...