Browsing by Author "Imran Mahmud Sadman"

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    Automatic Vehicle Detection and Counting System for Traffic Analysis
    (North South University, 2020-12) Foizur Rahaman; Shadat Irtisamul Haque; Muntasir Karim Chowdhury; Imran Mahmud Sadman; Zunayeed Bin Zahir; 1620551042; 1610835042; 1620633042; 1610940042
    Traffic Analysis has been a serious problem that urban planners and engineers are doing research to deal with. They are developing smarter ways to reduce or solve this serious issue. Traffic problems aren't a new issue but it is increasing day by day in many parts of the world due to the increase in vehicles. It is especially very evident in developing countries. Analysis of traffic is very significant and may be used to count the number of vehicles in an area or a lane. Over the time these systems have matured big time and some of them are highly effective, but all of them are not very budget friendly. The Government has to pay a hefty amount of money to maintain these services time and again. Sometimes in a manually traffic controlled area where three or more roads are connected, we see traffic police releasing one of the roads or direction frequently. But, the other direction or lanes are full of vehicles that he does not know. If some device or system could tell him the number of vehicles on the road, that would reduce traffic in that area. This device or system will also help them to take precaution in that particular time to increase traffic police or to take other necessary steps as they will be able to know the rush hours on a daily basis. Therefore, this study has proposed a vision based vehicle counting. We propose a solution which will aim to detect and count vehicles from Surveillance Footage (TSF) or video.