Call For Paper Volume:7 Issue:9 Sep'2020 |

Genetic Algorithm based Vehicle Detection in Surveillance system

Publication Date : 07/10/2016


DOI : 10.21884/IJMTER.2016.3077.W75WX

Author(s) :

Rajnikant Sonwane , Abhishek misal.


Volume/Issue :
Volume 3
,
Issue 10
(10 - 2016)



Abstract :

Traffic surveillance is used by private case of a surveillance system. Vehicle classification is an inherently difficult problem. The tracked vehicles are classified into two categories: cars and non-cars. The accuracy of the system was impressive, but they only used lateral views of the vehicles for testing. Their results are very good, but they also limited their testing to lateral views. They have produced impressive results, but the question of retrieving the “linearity” feature in frontal view remains unanswered. The Proposed Vehicle Detection technique using Genetic Algorithm performed the Cross over with the help of 1 point crossover and 2 Point crossover with random variables, which increased the speed of detection of the vehicles and accuracy whereas the previous works included tournament method. This method is very useful in detecting a large number of vehicles, and it also decreased the processing time, which was a major issue in the previous works.


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Genetic Algorithm based Vehicle Detection in Surveillance system

October 4, 2016