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ICPR
2010
IEEE
15 years 5 months ago
Low-Level Image Segmentation Based Scene Classification
This paper is aimed at evaluating the semantic information content of multiscale, low-level image segmentation. As a method of doing this, we use selected features of segmentation...
Emre Akbas, Narendra Ahuja
ICCV
2009
IEEE
1198views Computer Vision» more  ICCV 2009»
17 years 6 days ago
Implicit Color Segmentation Features for Pedestrian Detection
We investigate the problem of pedestrian detection in still images. Sliding window classifiers, notably using the Histogram-of-Gradient (HOG) features proposed by Dalal and Trig...
Patrick Ott and Mark Everingham
CVPR
1998
IEEE
16 years 9 months ago
Real-Time 2-D Feature Detection on a Reconfigurable Computer
We have designed and implemented a system for real-time detection of 2-D features on a reconfigurable computer based on Field Programmable Gate Arrays (FPGA `s). We envision this ...
Arrigo Benedetti, Pietro Perona
CVPR
2010
IEEE
1872views Computer Vision» more  CVPR 2010»
16 years 3 months ago
New Features and Insights for Pedestrian Detection
Despite impressive progress in people detection the performance on challenging datasets like Caltech Pedestrians or TUD-Brussels is still unsatisfactory. In this work we show that...
Stefan Walk, Nikodem Majer, Konrad Schindler, Bern...
ICRA
2008
IEEE
185views Robotics» more  ICRA 2008»
16 years 1 months ago
Human detection using multimodal and multidimensional features
— This paper presents a novel human detection method based on a Bayesian fusion approach using laser range data and camera images. Laser range data analysis groups data points wi...
Luciano Spinello, Roland Siegwart