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.
Highlights
INTRODUCTIONOrganization (WHO) in 2018, out of total road accidents in the world, 6% accidents take place in India where the number vehicles present on roads is only 1% of the world’s total vehicles
According to the data provided by World HealthOrganization (WHO) in 2018, out of total road accidents in the world, 6% accidents take place in India where the number vehicles present on roads is only 1% of the world’s total vehicles
An innovative method inspired by motion of water waves to model the interaction among multiple moving objects for the detection of road accidents was developed by Kimin Yun et al [11]
Summary
Organization (WHO) in 2018, out of total road accidents in the world, 6% accidents take place in India where the number vehicles present on roads is only 1% of the world’s total vehicles. These ‘other’ roads are the roads that are not properly planned and managed – usually found in urban areas [3] This shows that the road accidents are something worth giving attention to and have to be on the priority list of the researcher’s agenda to provide timely help at the place of accident and save lives, especially in the densely populated areas. Many solutions to this problem have been attempted to build up a recognition strategy; the scope of these techniques is yet restricted to be practiced in real situations.
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