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- W4386587562 abstract "The primary objective of this research is to design and implement an automated system for detecting vehicles from video footage, and estimating their speeds without the use of sensors. Object detection is a challenging task in computer vision that involves identifying and locating objects within an image or video. The proposed system begins by capturing the initial frame through a webcam, which serves as the reference frame. The system then calculates the phase difference between the reference frame and subsequent frames to detect movement. This refined frame is referred to as the threshold frame. Through the use of advanced image processing techniques such as shadow removal, dilation, and contouring, larger objects are identified within the threshold frame. This project also involves estimating the speed of vehicles using image processing techniques." @default.
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- W4386587562 date "2023-06-01" @default.
- W4386587562 modified "2023-09-29" @default.
- W4386587562 title "VEHICLE DETECTION AND TRACKING SYSTEM" @default.
- W4386587562 doi "https://doi.org/10.33564/ijeast.2023.v08i02.009" @default.
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