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» Object detection with vector quantized binary features
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ICPR
2008
IEEE
15 years 4 months ago
Background subtraction technique based on chromaticity and intensity patterns
This paper presents an efficient Real-Time method for detecting moving objects in unconstrained environments, using a background subtraction technique. A new background model that...
Ariel Amato, Mikhail Mozerov, Ivan Huerta Casado, ...
PAA
2006
14 years 9 months ago
Audio-visual sports highlights extraction using Coupled Hidden Markov Models
We present our studies on the application of Coupled Hidden Markov Models(CHMMs) to sports highlights extraction from broadcast video using both audio and video information. First,...
Ziyou Xiong
TMI
2011
182views more  TMI 2011»
14 years 4 months ago
Active Volume Models for Medical Image Segmentation
—In this paper, we propose a novel predictive model, active volume model (AVM), for object boundary extraction. It is a dynamic “object” model whose manifestation includes a ...
Tian Shen, Hongsheng Li, Xiaolei Huang
WACV
2002
IEEE
15 years 2 months ago
FASU: A Full Automatic Segmenting System for Ultrasound Images
In this paper, we propose a novel segmenting system for ultrasound images. This solution is separated into three steps. First, we filter noise by using the “peakand-valley” wi...
Nualsawat Hiransakolwong, Piotr S. Windyga, Kien A...
CIVR
2007
Springer
177views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Matching ottoman words: an image retrieval approach to historical document indexing
Large archives of Ottoman documents are challenging to many historians all over the world. However, these archives remain inaccessible since manual transcription of such a huge vo...
Esra Ataer, Pinar Duygulu