Aerial shooting traffic video frequency vehicle rapid checking method

Abstract

An aerial photography transport video vehicle rapid detection method comprises the steps that: step 100, the space-based coding part adopts the global motion estimation to determine the global motion vector of a background; step 200, the residual difference value is calculated according to the global motion vector to divide background regions and motion regions; step 300, whether the regions are the background regions or not is judged, an image of which the regions are all the background regions is changed to the next frame, and the step 200 is executed; otherwise, the motion regions of the image execute the step 400; step 400, the ground part firstly determines a self-adaptive gradient threshold which is lower and can correctly divide various objects to carry out the primary marker extraction; then two parameters of an area and a water collection depth are introduced for further screening of the extracted marker, thus determining a final marker point; then the marker point is taken as the region minimum value for carrying out the VS watershed division; finally, the regions are merged according to the texture information of the regions; step 500, the shadow is detected in an HSV color space, thus filtering out phony targets and finally detecting vehicles. The method of the invention solves the problems that the calculation amount during the decompression of the aerial photography image and the detection of motion targets is greater, and the real-time property and the robustness requirement are difficult to be satisfied at the same time.

Description

Technical field [0001] The invention relates to a motion estimation and detection method of video images, in particular to a detection method of moving vehicles in traffic video images, and belongs to the field of traffic monitoring and video processing. Background technique [0002] In the past ten years, traffic congestion, traffic accidents and environmental pollution have had an important impact on social and economic development and life, and intelligent transportation systems have become the main means to solve this problem. Most of the existing traffic monitoring methods are to fix the collection device on the road surface. Because the fixed monitoring equipment is restricted by the road surface conditions and is not flexible enough, in recent years there has been a method of collecting traffic videos on the air-based platform. The present invention is based on the images collected by the space-based platform. [0003] Moving target detection is an important part of digita...

AI Technical Summary

Problems solved by technology

[0012] Aiming at the deficiencies in the prior art, the present invention provides a rapid vehicle detection method for aerial photography traffic video. The method combines global motion estimation and watershed segmentation technology in compression coding to solve the problem of decompression of aerial photography images and calculation of moving target detection. The amount is large, and it is difficult to meet the real-time and robustness requirements at the same time

Images