Vehicle tracking method and system

Abstract

The invention discloses a vehicle tracking method and a vehicle tracking system. The method comprises the following steps: selecting a target suitable for being tracked as a new tracking target from a vehicle detection result, and initializing historical characteristic information of the tracking target; predicating the track position and scope of the tracking target in a current frame according to the known motion information of the tracking target; using a scanning window with a set size to scan within the predication scope of the tracking target and reserving corresponding areas of the scanning window, meeting a code word matching condition, as candidate frames; evaluating the confidence coefficient of each candidate frame as a final tracking result and taking the candidate frame with the highest confidence coefficient as the tracking result of the tracking target in the current frame; correcting the tracking result; if continuing to track the tracking target, then updating the historical characteristic information of the tracking target according to the information of the tracking result of the current frame and then turning to the step of predicating motion, otherwise, stopping tracking. The vehicle tracking method provided by the invention is low in calculation amount and is higher in accuracy and continuity.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a vehicle tracking method and system. Background technique [0002] The intelligent traffic video surveillance algorithm mainly includes three steps: vehicle detection, vehicle tracking and vehicle behavior analysis, such as figure 1 shown. Vehicle detection realizes the extraction of vehicle targets in the initial traffic scene; vehicle tracking describes the motion of the extracted vehicle targets in real time, and generates their respective motion trajectories; behavior analysis judges whether a vehicle has violated regulations or is in a state based on the rules of the generated motion trajectories. Abnormal state. [0003] Vehicle tracking technology has important application value and development prospect, and has developed rapidly in recent years. Vehicle tracking attempts to determine the relationship between the target information parameters between eac...

AI Technical Summary

Problems solved by technology

[0010] (1) It is difficult to establish the target model and obtain the contour, and the definition or optimization of the target function is complicated;

[0011] (2) The search strategy has a large amount of calculation;

[0012] (3) The characteristics of the target cannot be updated in time, and changes in posture can easily lead to tracking loss;

[0015] (6) It is impossible to continue tracking the short-term lost target caused by occlusion, error erasure, etc.

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