Adaptive Vehicle Detector Approach for Complex Environments

Video based vehicle detection technology is an integral part of Intelligent Transportation System (ITS), due to its non-intrusiveness and comprehensive vehicle behavior data collection capabilities Vehicle detection under various environments will have many difficulties such as illumination vibrations, shadow effects and vehicle overlapping problems that appear in traffic jams. This paper presents a Vision based Vehicle counting and vehicle speed calculation. The system detects the vehicles, counts them and calculates speed of each vehicle. Several computer-vision based algorithms were developed or applied to extract foreground objects from a video sequence, detect presence of vehicles detection, counting .The algorithms were implemented in the system using C++. The system uses the Intel OpenCV library for image processing. This paper is implemented using ARM9 micro controller. The webcam is connected to the controller through USB device. The controller processes the information and monitors the results as vehicles and number of vehicles on remote controlled PC through Ethernet and also the information is displayed on LCD unit.

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