Beta R-CNN: Looking into Pedestrian Detection from Another Perspective [PDF]
Recently significant progress has been made in pedestrian detection, but it remains challenging to achieve high performance in occluded and crowded scenes.
Zixuan Xu, Banghuai Li, Ye Yuan, A. Dang
semanticscholar +1 more source
Introspective classification for pedestrian detection [PDF]
State-of-the-art pedestrian detectors are capable of finding humans in images with reasonable accuracy. However, accurate object detectors such as Integral Channel Features (ICF) do not provide good reliability; they are unable to identify detections which they are less confident (or more uncertain) about.
Blair, Calum G. +2 more
openaire +2 more sources
Research of Pedestrian Detection Methods with Anchor Frame Based on Deep Learning [PDF]
Pedestrian detection technology has been one of the hotspots for target detection tasks. Deep learning-based theories and techniques perform exceptionally well in the pedestrian detection domain, and several general-purpose target detectors are ...
Yan Tao
doaj +1 more source
Static and Dynamic Pedestrian Detection Algorithm for Visual Based Driver Assistive System
This paper presents a new pedestrian detection algorithm used in Advanced Driver-Assistance System with only one camera aiming to improving traffic safety.
Bush Idoko John, Dimililer Kamil
doaj +1 more source
Real‐time 3D multi‐pedestrian detection and tracking using 3D LiDAR point cloud for mobile robot
Mobile robots are used in modern life; however, object recognition is still insufficient to realize robot navigation in crowded environments. Mobile robots must rapidly and accurately recognize the movements and shapes of pedestrians to navigate safely ...
Ki‐In Na, B. Park
semanticscholar +1 more source
Occlusion-aware pedestrian detection [PDF]
Failure in pedestrian detection systems can be extremely crucial, specifically in driverless driving. In this paper, failures in pedestrian detectors are refined by re-evaluating the results of state of the art pedestrian detection systems, via a fully convolutional neural network.
Christos Apostolopoulos +4 more
openaire +2 more sources
Body Parts Features-Based Pedestrian Detection for Active Pedestrian Protection System
A novel pedestrian detection system based on vision in urban traffic situations is presented to help the driver perceive the pedestrian ahead of the vehicle.
Lie Guo +4 more
doaj +1 more source
Monocular Pedestrian Detection: Survey and Experiments [PDF]
Pedestrian detection is a rapidly evolving area in computer vision with key applications in intelligent vehicles, surveillance, and advanced robotics. The objective of this paper is to provide an overview of the current state of the art from both methodological and experimental perspectives. The first part of the paper consists of a survey.
Enzweiler, M., Gavrila, D.M.
openaire +4 more sources
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems [PDF]
Multispectral pedestrian detection is capable of adapting to insufficient illumination conditions by leveraging color-thermal modalities. On the other hand, it is still lacking of in-depth insights on how to fuse the two modalities effectively.
Kailai Zhou, Linsen Chen, Xun Cao
semanticscholar +1 more source
Deep Learning-Based Pedestrian Detection in Autonomous Vehicles: Substantial Issues and Challenges
In recent years, autonomous vehicles have become more and more popular due to their broad influence over society, as they increase passenger safety and convenience, lower fuel consumption, reduce traffic blockage and accidents, save costs, and enhance ...
Sundas Iftikhar +5 more
semanticscholar +1 more source

