TED: A texture-edge descriptor for pedestrian detection in video sequences

Authors:
Narges Armanfard;Majid Komeili;Ehsanollah Kabir
Affiliations:
Faculty of Electrical and computer Engineering, Tarbiat Modarres University, Tehran, Iran;Faculty of Electrical and computer Engineering, Tarbiat Modarres University, Tehran, Iran;Faculty of Electrical and computer Engineering, Tarbiat Modarres University, Tehran, Iran
Venue:
Pattern Recognition
Year:
2012

Citing 22
Cited 0

Pfinder: Real-Time Tracking of the Human Body

IEEE Transactions on Pattern Analysis and Machine Intelligence
The visual analysis of human movement: a survey

Computer Vision and Image Understanding
W4: Real-Time Surveillance of People and Their Activities

IEEE Transactions on Pattern Analysis and Machine Intelligence
Discovery and Segmentation of Activities in Video

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns

IEEE Transactions on Pattern Analysis and Machine Intelligence
Pedestrian Detection from a Moving Vehicle

ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Using Histograms to Detect and Track Objects in Color Video

AIPR '01 Proceedings of the 30th on Applied Imagery Pattern Recognition Workshop
Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
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
A Texture-Based Method for Modeling the Background and Detecting Moving Objects

IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Video-Based Surveillance by Integrating Target Detection with Tracking

CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Detection of moving cast shadows using image orthogonal transform

ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Pedestrian detection by means of far-infrared stereo vision

Computer Vision and Image Understanding
Efficient hierarchical method for background subtraction

Pattern Recognition
Defect Detection in Patterned Fabrics Using Modified Local Binary Patterns

ICCIMA '07 Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 02
Fabric defect detection using modified local binary patterns

EURASIP Journal on Advances in Signal Processing
Object detection using image reconstruction with PCA

Image and Vision Computing
Monocular Pedestrian Detection: Survey and Experiments

IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo- and neural network-based pedestrian detection

IEEE Transactions on Intelligent Transportation Systems
Pedestrian detection and tracking with night vision

IEEE Transactions on Intelligent Transportation Systems
A Low-Cost Pedestrian-Detection System With a Single Optical Camera

IEEE Transactions on Intelligent Transportation Systems
Statistical modeling of complex backgrounds for foreground object detection

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.01

Visualization

Abstract

This paper presents a novel descriptor, TED, for pedestrian detection in video sequences. TED describes texture and edge information simultaneously. TED is a local descriptor because it is defined over a neighborhood. The size of the TED, independent of the neighborhood size defined over it, is 8 bits. TED is based on intensity difference, and so it is robust against illumination changes. We demonstrate TED performance in a block-based framework for pedestrian detection. Experimental results show the effectiveness of the proposed descriptor when applied in different outdoor and indoor environments.