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» New Fuzzy Object Segmentation Algorithm for Video Sequences
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ICMCS
2006
IEEE
181views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Human Object Tracking Algorithm with Human Color Structure Descriptor for Video Surveillance Systems
Segmentation, tracking, and description extraction are important operations in smart camera surveillance systems. In this paper, a robust segmentation-and-descriptor based trackin...
Shao-Yi Chien, Wei-Kai Chan, Der-Chun Cherng, Jing...
ECCV
2004
Springer
13 years 11 months ago
Geometric Structure of Degeneracy for Multi-body Motion Segmentation
Many techniques have been proposed for segmenting feature point trajectories tracked through a video sequence into independent motions. It has been found, however, that methods tha...
Yasuyuki Sugaya, Ken-ichi Kanatani
IWINAC
2009
Springer
14 years 2 months ago
Optimised Particle Filter Approaches to Object Tracking in Video Sequences
In this paper, the ways of optimising a Particle Filter video tracking algorithm are investigated. The optimisation scheme discussed in this work is based on hybridising a Particle...
Artur Loza, Fanglin Wang, Miguel A. Patricio, Jes&...
ECCV
2002
Springer
14 years 9 months ago
Neuro-Fuzzy Shadow Filter
In video sequence processing, shadow remains a major source of error for object segmentation. Traditional methods of shadow removal are mainly based on colour difference threshold...
Benny P. L. Lo, Guang-Zhong Yang
DICTA
2003
13 years 9 months ago
Automatic Adaptive Segmentation of Moving Objects Based on Spatio-Temporal Information
This paper suggests a novel segmentation algorithm for separating moving objects from the background in video sequences without any prior information of the sequence nature. We for...
Ofer Miller, Amir Averbuch, Yosi Keller