Biologically Inspired Composite Vision System for Multiple Depth-of-field Vehicle Tracking and Speed Detection
نویسندگان
چکیده
This paper presents a new vision-based traffic monitoring system, which is inspired by the visual structure found in raptors, to provide multiple depth-of-field vision information for vehicle tracking and speed detection. The novelty of this design is the usage of multiple depth-of-field information for tracking expressway vehicles over a longer range, and thus provide accurate speed information for overspeed vehicle detection. A novel speed calculation algorithm was designed for the composite vision information acquired by the system. The calculated speed of the vehicles was found to conform with the real-world driving speed.
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