Traffic violation detection in India using genetic algorithm

Autor: Akhilalakshmi T Bhat, Akshatha, Anupama, Mahima S Rao, Deepthi G Pai
Rok vydání: 2021
Předmět:
Zdroj: Global Transitions Proceedings. 2:309-314
ISSN: 2666-285X
DOI: 10.1016/j.gltp.2021.08.056
Popis: The paper speaks about traffic violation detection, which is the most happening topic where the existed system is being automated, or we can say that machines do all the work which includes automatically detecting the vehicle and their violation. Recording of the traffic will be collected through CCTV footages and then violation is detected by the system. Then that clip's image will be displayed showing the violation. This paper discusses detection of the violation that is specifically done by the algorithm that is, Genetic Algorithm. Genetic algorithm is used to optimize input given to machine and that could be the records set gathered from the CCTV footage. These inputs can be similarly transformed into frames (it is far one of the many nonetheless photos which composes the entire transferring picture). Next step is the background subtraction which allows to take the ones frames as inputs and offer pictures foreground to be extracted for similarly processing. Genetic set of rules can be used for the following step to be able to assist us to validate whether a contravention has occurred or not. The most important purpose is to perform via the advent of Genetic set of rules, that complements the enter set of rules with using genetic ideas so one can produce the “fittest” set of rules. Before the detection, background subtraction is done to get the frames from the video, then detecting the vehicles is important so the Haar technology is used, which is mostly used to get the xml files to use in the system.
Databáze: OpenAIRE