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» Generic Object Detection using Model Based Segmentation
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ICIP
2004
IEEE
15 years 11 months ago
Adaptive eigen-backgrounds for object detection
Most tracking algorithms detect moving objects by comparing incoming images against a reference frame. Crucially, this reference image must adapt continuously to the current light...
Jonathan D. Rymel, John-Paul Renno, Darrel Greenhi...
JMM2
2007
117views more  JMM2 2007»
14 years 9 months ago
Image Segmentation using Multi-Coloured Active Illumination
— In this paper, the use of active illumination is extended to image segmentation, specifically in the case of overlapping particles. This work is based on Multi-Flash Imaging (M...
Tze Ki Koh, Nicholas Miles, Steve Morgan, Barrie H...
ICPR
2004
IEEE
15 years 10 months ago
Robust Playfield Segmentation using MAP Adaptation
A vital task in sports video annotation is to detect and segment areas of the playfield. This is an important first step in player or ball tracking and detecting the location of t...
Jean-Marc Odobez, Mark Barnard
TOMCCAP
2010
202views more  TOMCCAP 2010»
14 years 4 months ago
Audio-visual atoms for generic video concept classification
We investigate the challenging issue of joint audio-visual analysis of generic videos targeting at semantic concept detection. We propose to extract a novel representation, the Sh...
Wei Jiang, Courtenay V. Cotton, Shih-Fu Chang, Dan...
ICPR
2010
IEEE
15 years 1 months ago
Initialisation-Free Active Contour Segmentation
We present a region based active contour model which does not require any initialisation and is capable of modelling multi-modal image regions. Its external force is based on stat...
Xianghua Xie, Majid Mirmehdi