This article will delve into pedestrian detection, examining its functionality, benefits, and significant impact on enhancing road safety.What is Pedestrian Detection? Pedestrian detection is an advanced driver assistance system (ADAS). It uses sensors, cameras, and artificial intelligence to identify ...
本篇文章出自CVPR2017,四名作者为Tsinghua University,Peking University, 外加两名来自Megvii(旷视科技)的大佬。 文章中对能够帮助行人检测的extra features做了诸多分析,并且提出了HyperLearner行人检测框架(基于Faster R-CNN改进),在KITTI&Caltech&Cityscapes数据集上实现了极为优秀的性能。 论文地址: http://open...
(论文笔记)Deep Learning Strong Parts for Pedestrian Detection 这篇论文做的主要创新是,使用对身体的局部检测来降低对行人检测的丢失率。进行局部检测的目的主要是为了处理行人身体被遮挡的问题。 关于论文的部分检测器(Part Detectors) 训练部分检测器, 1、先构造了部分池(Part Pool) 2、对于每一个部分,训练一...
2.3 TUD行人数据库 https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/people-detection-pose-estimation-and-tracking/multi-cue-onboard-pedestrian-detection/ 介绍:TUD行人数据库为评估运动信息在行人检测中的作用,提供图像对以便计算光流信息。训练集的正样本为1092对图像(...
【计算机视觉】论文笔记:Ten years of pedestrian detection, what have we learned? 最近正在研究行人检测,学习了一篇2014年发表在ECCV上的一篇综述性的文章,是对行人检测过去十年的一个回顾,从dataset,main approaches的角度分析了近10年的40多篇论文提出的方法,发现有三种方法(DPM变体,Deep networks,Decision ...
Paper-by-paper results make it easy to miss the forest for the trees. We analyse the remarkable progress of the last decade by discussing the main ideas explored in the 40+ detectors currently present in the Caltech pedestrian detection benchmark. We obs
While pedestrian detection is a hot topic in recent years, a lot of scholars have proposed many models whose performance are improved gradually. Meanwhile,... M Ji,J Li,Z Li,... - International Society for Optics and Photonics 被引量: 0发表: 2016年 ...
Automatic emergency braking, pedestrian detection, surround view, parking assist, driver drowsiness detection, and gaze detection are among the many ADAS applications that assist drivers with safety-critical functionality to reduce car accidents and save lives. What is the Future of ADAS? The ...
According to the US Department of Transportation, more What is the problem with traditional stop than half of all roadway deaths occur on rural roads. Now signs on rural roads?engineers at the University of Texas at San Antonio (UTSA) are A. They are poorly designed.building and testing a ...
Object detection is a technique that uses neural networks to localize and classifying objects in images.