Fast human detection based on enhanced variable size HOG features

Authors:
Jifeng Shen;Changyin Sun;Wankou Yang;Zhongxi Sun
Affiliations:
School of Automation, Southeast University, Nanjing, China;School of Automation, Southeast University, Nanjing, China;School of Automation, Southeast University, Nanjing, China;School of Automation, Southeast University, Nanjing, China and College of Science, Hohai University, Nanjing, China
Venue:
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Year:
2011

Citing 13
Cited 0

Boosting Chain Learning for Object Detection

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Integral Histogram: A Fast Way To Extract Histograms in Cartesian Spaces

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Histograms of Oriented Gradients for Human Detection

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Robust Object Detection via Soft Cascade

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Fast Human Detection Using a Cascade of Histograms of Oriented Gradients

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
An Experimental Study on Pedestrian Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Haar Wavelets and Edge Orientation Histograms for On---Board Pedestrian Detection

IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Histograms of optical flow for efficient representation of body motion

Pattern Recognition Letters
Survey of Pedestrian Detection for Advanced Driver Assistance Systems

IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning object detection from a small number of examples: the importance of good features

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Human detection using oriented histograms of flow and appearance

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Fast Human Detection Using a Novel Boosted Cascading Structure With Meta Stages

IEEE Transactions on Image Processing
Fast Pedestrian Detection Using a Cascade of Boosted Covariance Features

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we proposed an enhanced variable size HOG feature based on the boosting framework. The proposed feature utilizes the information which is ignored in quantization gradient orientation that only using one orientation to encode each pixel. Furthermore, we utilized a fixed Gaussian template to convolve with the integral orientation histograms in order to interpolate the weight of each pixel from its surroundings. Either of the two steps have an important effect on the discriminative ability of HOG feature which leads to increase the detection rate. Soft cascade framework is utilized to train our final human detector. The experiment result based on INRIA database shows that our proposed feature improves the detection rate about 5% at the false positive per window rate of 10-4 compared to the original feature.