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CVPR
2005
IEEE
14 years 11 months ago
A Two-Stage Level Set Evolution Scheme for Man-Made Objects Detection in Aerial Images
A novel two-stage level set evolution method for detecting man-made objects in aerial images is described. The method is based on a modified Mumford-Shah model and it uses a two-s...
Guo Cao, Xin Yang, Zhihong Mao
MVA
2007
137views Computer Vision» more  MVA 2007»
14 years 11 months ago
Object Based Contour Detection by Using Graph-cut on Stereo Image
In the last few years, computer vision and image processing techniques have been developed to solve many problems. One of them, graph cut method is powerful optimization technique...
Taehoon Kang, Jaeseung Yu, Jangseok Oh, Yunhwan Se...
BMVC
1998
14 years 11 months ago
Detection and Tracking of Very Small Low Contrast Objects
We present a Kalman tracking algorithm that can track a number of very small, low contrast objects through an image sequence taken from a static camera. The issues that we have ad...
D. Davies, Phil L. Palmer, Majid Mirmehdi
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
14 years 7 months ago
An integrated probabilistic model for scan-matching, moving object detection and motion estimation
Abstract-- This paper presents a novel framework for integrating fundamental tasks in robotic navigation through a statistical inference procedure. A probabilistic model that joint...
Joop van de Ven, Fabio Ramos, Gian Diego Tipaldi
ICCV
2011
IEEE
13 years 9 months ago
Object Detection and Segmentation from Joint Embedding of Parts and Pixels
We present a new framework in which image segmentation, figure/ground organization, and object detection all appear as the result of solving a single grouping problem. This frame...
Michael Maire, Stella X. Yu, Pietro Perona