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» Cascade of Classifiers for Vehicle Detection
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ICIP
2010
IEEE
13 years 5 months ago
Fast object detection using boosted co-occurrence histograms of oriented gradients
Co-occurrence histograms of oriented gradients (CoHOG) are powerful descriptors in object detection. In this paper, we propose to utilize a very large pool of CoHOG features with ...
Haoyu Ren, Cher-Keng Heng, Wei Zheng, Luhong Liang...
CVPR
2004
IEEE
14 years 9 months ago
Detecting and Reading Text in Natural Scenes
This paper gives an algorithm for detecting and reading text in natural images. The algorithm is intended for use by blind and visually impaired subjects walking through city scen...
Xiangrong Chen, Alan L. Yuille
ICIP
2010
IEEE
13 years 5 months ago
Fast pedestrian detection with multi-scale orientation features and two-stage classifiers
In this paper, we propose an approach for fast pedestrian detection in images. Inspired by the histogram of oriented gradient (HOG) features, a set of multi-scale orientation (MSO...
Qixiang Ye, Jianbin Jiao, Baochang Zhang
DAGM
2007
Springer
13 years 11 months ago
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
Rezaul Karim, Martin Bergtholdt, Jörg H. Kapp...
KES
2009
Springer
14 years 1 months ago
Urban Vehicle Tracking Using a Combined 3D Model Detector and Classifier
This paper presents a tracking system for vehicles in urban traffic scenes. The task of automatic video analysis for existing CCTV infrastructure is of increasing interest due to b...
Norbert Buch, Fei Yin, James Orwell, Dimitrios Mak...