Automatic Accident Detection Techniques using CCTV Surveillance Videos: Methods, Data sets and Learning Strategies

  • Jahagirdar S
  • et al.
N/ACitations
Citations of this article
9Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Intelligent communities are utilizing different creative ideas to improve the quality of human life. Due to fast growing sizes of our cities, need of travelling is constantly increasing, which in turn has increased count of vehicles on the roads. Increasing number of vehicles on the roads has brought about numerous difficulties for Street Traffic Management Authorities. Amongst different traffic related issues, road accidents are something worth giving attention to and have to be on the priority list. This paper describes various automatic road accident detection techniques, which automatically detect accidents using surveillance videos in real-time. As these methods do not consider various lighting conditions, changing weather conditions and different traffic patterns, none of the methods are robust enough to address all the incidences of the accident. In this paper, authors have described and compared many such methods.

Cite

CITATION STYLE

APA

Jahagirdar, S., & Koli, S. (2020). Automatic Accident Detection Techniques using CCTV Surveillance Videos: Methods, Data sets and Learning Strategies. International Journal of Engineering and Advanced Technology, 9(3), 4282–4285. https://doi.org/10.35940/ijeat.c6361.029320

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free