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MVA
2002
187views Computer Vision» more  MVA 2002»
13 years 7 months ago
Interest Points Detection in Color Images
This paper presents a new interest point detector for color images. It is based on a non linear filtering of the image which preserves edges, and on the use of a color point detec...
Benoît Telle, Marie-José Aldon
DSSCV
2005
Springer
14 years 1 months ago
Using Top-Points as Interest Points for Image Matching
We consider the use of so-called top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offse...
Bram Platel, Evguenia Balmachnova, Luc Florack, Fr...
CVPR
1999
IEEE
14 years 9 months ago
Object Recognition with Color Cooccurrence Histograms
We use the color cooccurrence histogram (CH) for recognizing objects in images. The color CH keeps track of the number of pairs of certain colored pixels that occur at certain sep...
Peng Chang, John Krumm
CVPR
2007
IEEE
14 years 9 months ago
A Bayesian algorithm for tracking multiple moving objects in outdoor surveillance video
Reliable tracking of multiple moving objects in video is an interesting challenge, made difficult in real-world video by various sources of noise and uncertainty. We propose a Bay...
Manjunath Narayana, Donna Haverkamp
ASUNAM
2009
IEEE
13 years 5 months ago
Automatically Detecting Points of Interest and Social Networks from Tracking Positions of Avatars in a Virtual World
With hundreds of millions of users already today, virtual worlds will become an important factor in tomorrow's media landscape. In a virtual world, users are represented by s...
Frank Kappe, Bilal Zaka, Michael Steurer