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» Robust Algorithms for Object Localization
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PR
2007
340views more  PR 2007»
13 years 8 months ago
Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation
— Fuzzy c-means (FCM) algorithms with spatial constraints (FCM_S) have been proven effective for image segmentation. However, they still have the following disadvantages: 1) Alth...
Weiling Cai, Songcan Chen, Daoqiang Zhang
ICPR
2006
IEEE
14 years 9 months ago
Detection-Assisted Initialization, Adaptation and Fusion of Body Region Trackers for Robust Multiperson Tracking
In this paper, we present a system for simultaneous tracking of multiple persons in a smartroom using multiple cameras. Robust person tracks are created, continuously adapted, and...
Keni Bernardin, Alexander Elbs, Rainer Stiefelhage...
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
14 years 2 months ago
Introducing a watermarking with a multi-objective genetic algorithm
We propose an evolutionary algorithm for the enhancement of digital semi-fragile watermaking based on the manipulation of the image discrete cosine transform (DCT). The algorithm ...
Diego Sal Díaz, Manuel Grana Romay
ISBI
2008
IEEE
14 years 9 months ago
A new detection scheme for multiple object tracking in fluorescence microscopy by joint probabilistic data association filtering
Tracking of multiple objects in biological image data is a challenging problem due largely to poor imaging conditions and complicated motion scenarios. Existing tracking algorithm...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering
TIP
2010
103views more  TIP 2010»
13 years 3 months ago
A Robust Fuzzy Local Information C-Means Clustering Algorithm
Stelios Krinidis, Vassilios Chatzis