In modern digital world one of the most challenging issue is the detection of moving object in a video frame and further tracking it. Same thing becomes more and more difficult when we replace these moving objects with a moving vehicle on a road. With the increasing number of vehicles the traffic monitoring system has become a very vast field for research. Although there already have been many works done in the field however our paper presents a very simple approach for detecting vehicles in urban traffic scenes by means of background subtraction and Linear Quadratic Estimation (LQE). In our proposed system, a video is taken and then the video is subtracted into masks to detect the vehicles. Binary Morphological operation is used to remove the noise from the video. Simple Linear Quadratic Estimation (LQE) is then used to predict the vehicle path and count all detected vehicles. Our proposed method is less complex and acquires almost 99% result successfully.
Vehicle detection, tracking and counting using linear quadratic estimation technique
01.01.2018
497258 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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