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» A Boundary-Fragment-Model for Object Detection
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CVPR
2001
IEEE
16 years 8 months ago
Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images
We present a two-step method to speed-up object detection systems in computer vision that use Support Vector Machines (SVMs) as classifiers. In a first step we perform feature red...
Bernd Heisele, Thomas Serre, Sayan Mukherjee, Toma...
CVPR
2007
IEEE
16 years 8 months ago
Accurate Object Detection with Deformable Shape Models Learnt from Images
We present an object class detection approach which fully integrates the complementary strengths offered by shape matchers. Like an object detector, it can learn class models dire...
Cordelia Schmid, Frédéric Jurie, Vit...
ICRA
2009
IEEE
174views Robotics» more  ICRA 2009»
16 years 1 months ago
Environment adapted active multi-focal vision system for object detection
— A biologically inspired foveated attention system in an object detection scenario is proposed. Thereby, a highperformance active multi-focal camera system imitates visual behav...
Tingting Xu, Hao Wu, Tianguang Zhang, Kolja Kü...
CVPR
2009
IEEE
1002views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Classifier Grids for Robust Adaptive Object Detection
In this paper we present an adaptive but robust object detector for static cameras by introducing classifier grids. Instead of using a sliding window for object detection we pro...
Peter M. Roth, Sabine Sternig, Helmut Grabner, Hor...
ADBIS
2009
Springer
128views Database» more  ADBIS 2009»
16 years 1 months ago
Detecting Moving Objects in Noisy Radar Data Using a Relational Database
Abstract. In moving object databases, many authors assume that number and position of objects to be processed are always known in advance. Detecting an unknown moving object and pu...
Andreas Behrend, Rainer Manthey, Gereon Schül...