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» A Trainable System for Object Detection
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EMMCVPR
2009
Springer
14 years 1 months ago
Detection and Segmentation of Independently Moving Objects from Dense Scene Flow
We present an approach for identifying and segmenting independently moving objects from dense scene flow information, using a moving stereo camera system. The detection and segmen...
Andreas Wedel, Annemarie Meißner, Clemens Ra...
CVPR
2008
IEEE
14 years 9 months ago
Online learning of patch perspective rectification for efficient object detection
For a large class of applications, there is time to train the system. In this paper, we propose a learning-based approach to patch perspective rectification, and show that it is b...
Stefan Hinterstoisser, Selim Benhimane, Nassir Nav...
CVPR
2011
IEEE
12 years 11 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
ICIAP
2005
ACM
14 years 7 months ago
Improving SIFT-Based Object Recognition for Robot Applications
In this article we proposed an improved SIFT-based object recognition methodology for robot applications. This methodology is employed for implementing a robot-head detection syste...
Patricio Loncomilla, Javier Ruiz-del-Solar
SCIA
2007
Springer
151views Image Analysis» more  SCIA 2007»
14 years 1 months ago
A PCA-Based Technique to Detect Moving Objects
Abstract. Moving objects detection is a crucial step for video surveillance systems. The segmentation performed by motion detection algorithms is often noisy, which makes it hard t...
Nicolas Verbeke, Nicole Vincent