This project targets at developing a video based (freight) truck data extraction system to determine traffic flow characteristics like volume, average speed, density and classification of trucks with respect to lanes, time, day, months.
A Video based vehicle detection system entails detection of vehicles and extraction of traffic parameters in real time from images generated by video cameras overlooking a traffic scene. A video based vehicle detection system for providing data characteristic of traffic conditions includes a camera overlooking a roadway section for providing video signals representative of the field (traffic scene), and a digitizer for digitizing these signals and providing successive arrays of pixels (picture elements) characteristic of the field at successive points in space and time. A video monitor coupled to the camera provides a visual image of the field of view. Through use of a terminal and in conjunction with the monitor, an operator controls a formatter so as to select a sub array of pixels corresponding to specific sections in the field of view. A microprocessor then processes the intensity values representative of the selected portion of the field of view in accordance with spatial and/or temporal processing methods to generate data characteristic of the presence and passage of vehicles. This data can be utilized for real-time traffic surveillance and control, or stored in memory for subsequent processing and evaluation of traffic flow conditions.
Leading player in Video based Vehicle detection technology:
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