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» Object Detection by Contour Segment Networks
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CVPR
2007
IEEE
15 years 11 months ago
Multi-scale Structural Saliency for Signature Detection
Detecting and segmenting free-form objects from cluttered backgrounds is a challenging problem in computer vision. Signature detection in document images is one classic example an...
Guangyu Zhu, Yefeng Zheng, David S. Doermann, Stef...
ICPR
2000
IEEE
15 years 2 months ago
Probabilistic Saliency Approach for Elongated Structure Detection Using Deformable Models
In this paper we address the object recognition problem in a probabilistic framework to detect and describe object appearance through image features organized by means of active c...
Xavier Orriols, Ricardo Toledo, Xavier Binefa, Pet...
ICIP
2003
IEEE
15 years 11 months ago
Detection and extraction of road networks from high resolution satellite images
This article addresses the problem of road extraction from new high resolution satellite images. The proposed algorithm is divided in two sequential modules : a topologically corr...
Renaud Péteri, Julien Celle, Thierry Ranchi...
ISORC
2006
IEEE
15 years 3 months ago
Individual Contour Extraction for Robust Wide Area Target Tracking in Visual Sensor Networks
In this paper, we propose an approach to collaboratively track motion of a moving target in a wide area utilizing camera-equipped visual sensor networks, which are expected to pla...
Xiaoling Wu, Hoon Heo, Riaz Ahmed Shaikh, Jinsung ...
CVPR
2010
IEEE
1341views Computer Vision» more  CVPR 2010»
15 years 6 months ago
Unsupervised Detection and Segmentation of Identical Objects
We address an unsupervised object detection and segmentation problem that goes beyond the conventional assumptions of one-to-one object correspondences or model-test settings betwe...
Minsu Cho (Seoul National University), Young Min S...