Method and system for intelligently analyzing vehicle behaviour

Abstract

The invention provides a method and a system for intelligently analyzing vehicle behaviour. The corresponding method comprises the steps of collecting a sample set containing vehicles and a background sample set which does not contain vehicles, selecting predetermined Haar rectangular features to conduct offline training through an AdaBoost algorithm, and obtaining a cascade classifier which can find out vehicles from complicated backgrounds; obtaining video resources, and detecting video resources through the cascade classifier to identify vehicles in images; constructing a vehicle detector with identified vehicles serving as identified positive samples, tracking all vehicles through an optical flow method, and obtaining motion trails of all vehicles; and detecting traffic signs in video resources, combining traffic signs to analyze motion trails of vehicles, and determining whether vehicles violate rules. By the aid of the method and the system, vehicles can be tracked in complex scenarios and dynamic videos, and whether driving of vehicles violates rules can be determined.

Description

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AI Technical Summary

Benefits of technology

This technology helps train vehicles on their movements for better safety measures or compliance with regulatory requirements. It also uses visual markers like license plates attached to roads to help identify if they are being driven too much safely without exceeding certain standards.

Problems solved by technology

This technical problem addressed in this patented technology relates to analyzing vehicles' movements over different terrains without being constrained with stationary cameras only. Current techniques involve detectors placed around specific areas called zones, trackers equipped with sensors like LIDARs (Light Detections Interval) or radars, which have limitations when used indoors due to their low signal-to-noise ratio. However, these systems provide more accurate data than traditional camera imagery while also providing better situational awareness compared to other types of image processing tools.

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