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» A Trainable System for Object Detection
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MVA
2002
218views Computer Vision» more  MVA 2002»
13 years 6 months ago
Detecting Moving Objects with an Omnidirectional Camera and Subtraction Whose Background Image is Renewed
2 Detecting moving objects When we use a PTZ camera and background subtraction to detect moving objects, we must synchronize the PTZ of the camera and the PTZ of the background ima...
Kazumasa Yamazawa, Naokazu Yokoya
ITIIS
2010
343views more  ITIIS 2010»
13 years 1 months ago
Dynamic Manipulation of a Virtual Object in Marker-less AR system Based on Both Human Hands
This paper presents a novel approach to control the augmented reality (AR) objects robustly in a marker-less AR system by fingertip tracking and hand pattern recognition. It is kn...
Junchul Chun, Byungsung Lee
CVPR
2006
IEEE
14 years 24 days ago
Towards Multi-View Object Class Detection
We present a novel system for generic object class detection. In contrast to most existing systems which focus on a single viewpoint or aspect, our approach can detect object inst...
Alexander Thomas, Vittorio Ferrari, Bastian Leibe,...
WACV
2005
IEEE
14 years 9 days ago
Semi-Supervised Self-Training of Object Detection Models
The construction of appearance-based object detection systems is time-consuming and difficult because a large number of training examples must be collected and manually labeled i...
Chuck Rosenberg, Martial Hebert, Henry Schneiderma...
CRV
2011
IEEE
337views Robotics» more  CRV 2011»
12 years 6 months ago
Object Detection Using Principal Contour Fragments
Abstract—Contour features play an important role in object recognition. Psychological experiments have shown that maximum-curvature points are most distinctive along a contour [6...
Changhai Xu, Benjamin Kuipers