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ICIG
2009
IEEE
13 years 2 months ago
Illumination Invariant Object Tracking with Incremental Subspace Learning
In this paper, we present an efficient and robust subspace learning based object tracking algorithm with special illumination handling. Illumination variances pose a great challen...
Gang Yu, Hongtao Lu
ICPR
2006
IEEE
14 years 6 months ago
Discriminative Descriptor-Based Observation Model for Visual Tracking
Varying illumination and partial occlusion are two main difficulties in visual tracking. Existing methods based on appearance information cannot solve these problems effectively s...
Chu-Song Chen, Wen-Yan Chang, Yi-Ping Hung
CVIU
2004
114views more  CVIU 2004»
13 years 4 months ago
Illumination insensitive recognition using eigenspaces
Variations in illumination can have a dramatic effect on the appearance of an object in an image. In this paper, we propose how to deal with illumination variations in eigenspace ...
Horst Bischof, Horst Wildenauer, Ales Leonardis
CVPR
2008
IEEE
13 years 11 months ago
Evaluation of color descriptors for object and scene recognition
Image category recognition is important to access visual information on the level of objects and scene types. So far, intensity-based descriptors have been widely used. To increas...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...
IJCV
2007
196views more  IJCV 2007»
13 years 4 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman