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» Tracking Objects to Detect Feature Dependencies
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ISVC
2010
Springer
13 years 5 months ago
Symmetry Enhanced Adaboost
This paper describes a method to minimize the immense training time of the conventional Adaboost learning algorithm in object detection by reducing the sampling area. A new algorit...
Florian Baumann, Katharina Ernst, Arne Ehlers, Bod...
TIP
2008
142views more  TIP 2008»
13 years 7 months ago
Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
Jarmo Ilonen, Joni-Kristian Kamarainen, Pekka Paal...
ICPR
2006
IEEE
14 years 8 months ago
Superimposing 3D Virtual Objects using Markerless Tracking
This paper presents a novel methods to estimate the coordinates of a 3D object using the four vertices of a quadrangle and to track the markerless feature points. These methods ar...
Sang-Cheol Park, Sang-Woong Lee, Seong-Whan Lee
ICASSP
2011
IEEE
12 years 11 months ago
Color correction for object tracking across multiple cameras
Color is a powerful attribute that is used to characterize objects for tracking and other surveillance tasks. Since color is dependent on ambient illumination and the imaging equi...
Satyam Srivastava, Ka Ki Ng, Edward J. Delp
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
14 years 7 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...