Vision Based Vehicle-Pedestrian Detection and Warning System

Title

Vision Based Vehicle-Pedestrian Detection and Warning System

Creator

Loungani B.; Agrawal J.; Jacob L.

Description

Road Sense must be respected and obeyed by both the pedestrian and the driver. Moreover, urbanization has led to a steadfast rise in the fleet of vehicles, their speed, as well as non-compliance with road safety measures, and other such factors have provoked an inescapable increase of accidents in road traffic involving pedestrians. Pedestrian collisions can be predicted and prevented. At the very basic, there has to be vehicle and pedestrian detection along with speed estimation, which can be further applied to Vehicle-Pedestrian Collisions and various emerging fields like Industrial Automation, Transportation, Automotive, Security/Surveillance, or in Dangerous environments. This paper reviews the literature on vehicle and pedestrian detection based on two significant categories: pre-processing phase and detection phase, with a detailed comparative analysis. The papers reviewed cover video-based surveillance systems. 2022 IEEE.

Source

Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 712-717.

Date

2022-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

computer vision; pedestrian detection; vehicle detection; video pre-processing

Coverage

Loungani B., Christ University, Department of Data Science, Pune, India; Agrawal J., Christ University, Department of Data Science, Pune, India; Jacob L., Christ University, Department of Data Science, Pune, India

Rights

Restricted Access

Relation

ISBN: 978-166547436-8

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICAC3N56670.2022.10074566

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152198084&doi=10.1109%2fICAC3N56670.2022.10074566&partnerID=40&md5=cdb855e70f9da4e10da5f2d032411291