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» Object Detection Using Multi-local Feature Manifolds
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ICPR
2008
IEEE
14 years 3 months ago
Improved percolation-based method for crack detection in concrete surface images
This paper presents a highly accurate and efficient method for crack detection using percolation-based image processing. The detection of cracks in concrete surfaces during the ma...
Tomoyuki Yamaguchi, Shuji Hashimoto
ICMCS
2007
IEEE
157views Multimedia» more  ICMCS 2007»
14 years 3 months ago
A Semantic Content Analysis Model for Sports Video Based on Perception Concepts and Finite State Machines
In automatic video content analysis domain, the key challenges are how to recognize important objects and how to model the spatiotemporal relationships between them. In this paper...
Liang Bai, Songyang Lao, Gareth J. F. Jones, Alan ...
PAMI
2008
302views more  PAMI 2008»
13 years 8 months ago
Learning to Detect Moving Shadows in Dynamic Environments
We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...
Ajay J. Joshi, Nikolaos Papanikolopoulos
CVPR
2007
IEEE
14 years 10 months ago
Multi-Layer Background Subtraction Based on Color and Texture
In this paper, we propose a robust multi-layer background subtraction technique which takes advantages of local texture features represented by local binary patterns (LBP) and pho...
Jian Yao, Jean-Marc Odobez
ICIP
2008
IEEE
14 years 10 months ago
LASIC: A model invariant framework for correspondence
In this paper we address two closely related problems. The first is the object detection problem, i.e., the automatic decision of whether a given image represents a known object o...
Bernardo Rodrigues Pires, João Xavier, Jos&...