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2000

Real-time multiple vehicle detection and tracking from a moving vehicle

11 years 6 months ago
Real-time multiple vehicle detection and tracking from a moving vehicle
A real-time vision system has been developed that analyzes color videos taken from a forward-looking video camera in a car driving on a highway. The system uses a combination of color, edge, and motion information to recognize and track the road boundaries, lane markings and other vehicles on the road. Cars are recognized by matching templates that are cropped from the input data online and by detecting highway scene features and evaluating how they relate to each other. Cars are also detected by temporal differencing and by tracking motion parameters that are typical for cars. The system recognizes and tracks road boundaries and lane markings using a recursive least-squares filter. Experimental results demonstrate robust, real-time car detection and tracking over thousands of image frames. The data includes video taken under difficult visibility conditions. Key words: Real-time computer vision
Margrit Betke, Esin Haritaoglu, Larry S. Davis
Added 19 Dec 2010
Updated 19 Dec 2010
Type Journal
Year 2000
Where MVA
Authors Margrit Betke, Esin Haritaoglu, Larry S. Davis
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