Target object detection method and device

By obtaining point cloud data of dynamic vision sensors and lidar sensors, establishing an association matrix, and determining the state of the target object, the problem of low accuracy of lidar sensors in dynamic target tracking is solved, and dynamic target tracking with high accuracy is achieved.

CN114549590BActive Publication Date: 2025-04-01ZHEJIANG DAHUA TECH CO LTD
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Patent Information

Application Number
CN202210199955.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-03-01
Publication Date
2025-04-01
Estimated Expiration
2042-03-01

AI Technical Summary

Technical Problem

Existing lidar sensors have low accuracy in dynamic target tracking, and cannot effectively identify real people and fakes, especially in pedestrian tracking with varying motion states, which is difficult.

Method used

By obtaining point cloud data collected by dynamic vision sensors and lidar sensors, establishing an association matrix, determining the coordinate position of the target object in different sensors, and then identifying the state of the target object.

Benefits of technology

It improves the accuracy of dynamic target tracking, can effectively identify real people and fake people, and accurately track pedestrians when their movement status is changing.

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Abstract

The embodiment of the present invention provides a method and device for detecting a target object, the method comprising: obtaining a first point cloud data set collected by a dynamic vision sensor and a second point cloud data set collected by a laser radar sensor, wherein the first point cloud data set and the second point cloud data set are point cloud data sets collected at the same position; determining the second coordinate position of the target object in the second point cloud data set according to the first coordinate position of the target object in the first point cloud data set; determining the state of the target object through the first point cloud data set and the second coordinate position. Through the present invention, the problem of low accuracy in dynamic target tracking is solved, thereby achieving the effect of improving the accuracy of dynamic target tracking.
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