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ICMCS
2005
IEEE
193views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Segmenting Layers in Automated Visual Surveillance
Detecting objects of interest from a video sequence is a fundamental and critical task in automated visual surveillance. Those objects can either be moving or stationary. However,...
Lijuan Qin, Yueting Zhuang, Yunhe Pan, Fei Wu
144
Voted
ICCV
1999
IEEE
15 years 7 months ago
Geodesic Active Regions for Supervised Texture Segmentation
This paper presents a novel variational method for supervised texture segmentation. The textured feature space is generated by filtering the given textured images using isotropic ...
Nikos Paragios, Rachid Deriche
120
Voted
CCIA
2008
Springer
15 years 4 months ago
Motion Segmentation: a Review
Motion segmentation is an essential process for many computer vision algorithms. During the last decade, a large amount of work has been trying to tackle this challenge, however, p...
Luca Zappella, Xavier Lladó, Joaquim Salvi
CIMAGING
2008
141views Hardware» more  CIMAGING 2008»
15 years 4 months ago
Segmentation of digital microscopy data for the analysis of defect structures in materials using nonlinear diffusions
We apply stabilized inverse diffusion equations (SIDEs) to segment microscopy images of materials to aid in analysis of defects. We extend SIDE segmentation methods and demonstrat...
Landis M. Huffman, Jeff P. Simmons, Ilya Pollak
95
Voted
NAACL
2010
15 years 16 days ago
Urdu Word Segmentation
Word Segmentation is the foremost obligatory task in almost all the NLP applications where the initial phase requires tokenization of input into words. Urdu is amongst the Asian l...
Nadir Durrani, Sarmad Hussain