A real-time pedestrian detection system based on structure and appearance classification

2010 ◽  
Author(s):  
Mayank Bansal ◽  
Sang-Hack Jung ◽  
Bogdan Matei ◽  
Jayan Eledath ◽  
Harpreet Sawhney
Keyword(s):  
Real Time ◽  
Detection System ◽  
Pedestrian Detection

scholarly journals Pure FPGA Implementation of an HOG Based Real-Time Pedestrian Detection System

Sensors ◽  
2018 ◽  
Vol 18 (4) ◽  
pp. 1174 ◽  
Author(s):  
Jian Luo ◽  
Chang Lin
Keyword(s):  
Real Time ◽  
Detection System ◽  
Pedestrian Detection ◽  
Image Sensor ◽  
Frame Rate ◽  
External Memory ◽  
Support Vector ◽  
Svm Classification ◽  
Prior Art ◽  
Memory Modules

In this study, we propose a real-time pedestrian detection system using a FPGA with a digital image sensor. Comparing with some prior works, the proposed implementation realizes both the histogram of oriented gradients (HOG) and the trained support vector machine (SVM) classification on a FPGA. Moreover, the implementation does not use any external memory or processors to assist the implementation. Although the implementation implements both the HOG algorithm and the SVM classification in hardware without using any external memory modules and processors, the proposed implementation’s resource utilization of the FPGA is lower than most of the prior art. The main reasons resulting in the lower resource usage are: (1) simplification in the Getting Bin sub-module; (2) distributed writing and two shift registers in the Cell Histogram Generation sub-module; (3) reuse of each sum of the cell histogram in the Block Histogram Normalization sub-module; and (4) regarding a window of the SVM classification as 105 blocks of the SVM classification. Moreover, compared to Dalal and Triggs’s pure software HOG implementation, the proposed implementation‘s average detection rate is just about 4.05% less, but can achieve a much higher frame rate.

scholarly journals Design and Implementation of Vehicle Pedestrian Detection System Based on FPGA

2011 ◽  
Vol 2-3 ◽  
pp. 495-500
Author(s):  
Xue Wen Ma ◽  
Shuang Ma ◽  
Meng Yao Li ◽  
Mei Ling Jin
Keyword(s):  
Real Time ◽  
Detection System ◽  
Pedestrian Detection ◽  
Practical Significance ◽  
Clock Frequency ◽  
Driver Assistance ◽  
Broad Application ◽  
Design And Implementation ◽  
Pedestrian Accidents ◽  
Application Prospects

The vehicle pedestrian detection system is a kind of solution to car driver assistance. The system can detect pedestrian in dangerous and send early warning to drivers automatically. Therefore, it has practical significance to develop a robust、real-time and stability pedestrian detection system which can reduce and avoid pedestrian accidents effectively. This article completes the vehicle pedestrian detection system based on FPGA. It used the cyclone II EP2C70 DSP development board provided by the Altera Corporation. By testing, the system can determine a size of 320 × 240 grayscale image takes about 723ms at the clock frequency in the 100MHZ. It achieves the desired functionality. The system has better real-time and reliability. At the same time, it has small size, easy to control and the most important is that it has broad application prospects.

scholarly journals A REAL-TIME PEDESTRIAN DETECTION SYSTEM IN STREET SCENE

2016 ◽  
Vol 9 (3) ◽  
pp. 1592-1613 ◽  
Author(s):  
Ai-ying Guo ◽  
Mei-hua Xu ◽  
Feng Ran ◽  
Qi Wang
Keyword(s):  
Real Time ◽  
Detection System ◽  
Pedestrian Detection ◽  
Street Scene
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