A computationally efficient video processing algorithm for vehicle detection is presented. The algorithm detects vehicles that arrive on a defined detection line. Inter-frame difference is used to detect the presence of a vehicle and background subtraction is used to find the shape of the object that does not belong to an empty road. If movement is detected, intervals corresponding to the moving objects are created on the detection line. Further processing of intervals allows detecting and counting the objects. The accuracy of the proposed method is analyzed on different roads and in different weather conditions.
Efficient Video Processing Method for Traffic Monitoring Combining Motion Detection and Background Subtraction
2013
11 Seiten
Aufsatz (Konferenz)
Englisch
Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation
British Library Conference Proceedings | 2004
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