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» From Images to Shape Models for Object Detection
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WACV
2007
IEEE
15 years 4 months ago
Extraction of Person Silhouettes from Surveillance Imagery using MRFs
We present a method for the simultaneous detection and segmentation of objects from static images. We employ lowlevel contour features that enable us to learn the coarse object sh...
Vinay Sharma, James W. Davis
IJCV
2007
178views more  IJCV 2007»
14 years 9 months ago
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
In this article we present the integration of 3-D shape knowledge into a variational model for level set based image segmentation and contour based 3-D pose tracking. Given the sur...
Bodo Rosenhahn, Thomas Brox, Joachim Weickert
WACV
2005
IEEE
15 years 3 months ago
Robust Salient Motion Detection with Complex Background for Real-Time Video Surveillance
Moving object detection is very important for video surveillance. In many environments, motion maybe either interesting (salient) motion (e.g., a person) or uninteresting motion (...
Ying-li Tian, Arun Hampapur
MICCAI
2005
Springer
15 years 10 months ago
Shape Modeling Using Automatic Landmarking
Abstract. This paper describes a novel approach to automatically recover accurate correspondence over various shapes. In order to detect the features points with the capability in ...
Jun Xie, Pheng-Ann Heng
ICRA
2005
IEEE
130views Robotics» more  ICRA 2005»
15 years 3 months ago
A Shape Tracking Algorithm for Visual Servoing
— The paper contributes to presenting both an accurate and robust shape tracking algorithm and a novel visual servoing method. Two steps are involved in the tracking algorithm. F...
Peihua Li, François Chaumette, Omar Tahri