Low-altitude target tracking system based on FPGA

Abstract

The invention discloses a low-altitude target tracking system based on a FPGA. The low-altitude target tracking system comprises an image acquisition module for initially configuring a video decoding chip, wherein the image acquisition module decodes a data format on a video decoding chip bus to extract a video field, line and effective pixel data, and extracts the pixel gray level; the to-be-processed pixel and neighborhood value are registered in the preprocessing module to form a filter window, the FOFI and the data in the register are updated once at each gray level clock so as to obtain a new filter window; the data in the filter window is sorted and selected to obtain a filter mid value; a target segmentation module for performing sub-window region average gray value computation, dynamic dual-threshold computation and binarization; a target positioning module for performing centroid computation and prediction; a communication module for sending a target centroid coordinate; and a cradle head control module for controlling a cradle head to rotate according to the centroid position of a target, and controlling the target at the view center of a camera.

Description

technical field [0001] The invention relates to an air target tracking technology, in particular to an FPGA-based low-altitude target tracking system. Background technique [0002] The gradual opening of low-altitude airspace and the diversification and flexibility of low-altitude flights have brought flight safety issues to the fore. It is necessary for the air traffic control system to strengthen the effective tracking and monitoring of low-altitude aircraft. As a main airport surface surveillance technology, low-altitude radar tracking is affected by multipath effects when tracking low-altitude and ultra-low-altitude targets, and the tracking results are unreliable. The vision-based surveillance system uses images to detect and track targets, has strong anti-interference ability, and has little dependence on the environment. It can assist radar to monitor low-altitude targets and improve system reliability. Existing visual tracking systems include PC-based visual trackin...

AI Technical Summary

Problems solved by technology

Usually PCs are bulky, poor in reliability and portability, DSP or ARM processors use serial processing to implement image processing algorithms, it is difficult to process image data containing huge amounts of data in real time, and the real-time tracking performance is difficult to meet application requirements

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