Vehicle target motion speed detection method based on UAV multi-source images
A technology of motion speed and detection method, applied in image analysis, image enhancement, image data processing and other directions, can solve the problems of error, fixed monitoring location, high cost of laser and radar detection technology, and achieve the effect of easy operation
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2018-04-06
- Estimated Expiration
- Not applicable · inactive patent
Smart Images

Figure 1
Abstract
Description
technical field
[0001] The invention relates to the technical field of video image processing, in particular to a method for detecting the moving speed of a vehicle target based on multi-source images of an unmanned aerial vehicle. Background technique
[0002] With the continuous development of science and technology, modern transportation is becoming more and more important in economic activities, and with the modernization of transportation, more and more traffic problems have emerged. Under such a large environment, Intelligent Traffic System (Intelligent Traffic System, ITS) emerged as the times require, and researchers from all over the world are actively researching and developing to improve traffic monitoring methods, among which computer vision technology provides important technical support for intelligent transportation systems. The detection of vehicle speed is an important part of the intelligent transportation system, and it is also a hot and difficult point in...
Examples
Embodiment
[0036] Embodiment: a kind of vehicle target motion speed detection method based on unmanned aerial vehicle multi-source image, it is characterized in that: comprise the following steps:
[0037] Step 1. Build a UAV multi-source image acquisition platform;
[0038] Step 2: Use the image acquisition platform to collect image data, obtain the multi-source images of the visible light camera and thermal infrared camera through the computer motherboard of the UAV platform, and transmit the multi-source image data to the ground monitoring client through 4G to complete the real-time monitoring of the images Obtain;
[0039] Step 3, correcting the acquired image data to reduce the geometric distortion of the image data;
[0040] Step 4, registering the corrected multi-source image data;
[0041] Step 5, performing weighted fusion on the registered multivariate image data;
[0042] Step 6. Based on the weighted and fused multi-source image data, the vehicle target is detected;
[00...