基于深度学习的无人机航拍目标检测与跟踪方法综述

A Review of UAV Aerial Photography Target Detection and Tracking Methods Based on Deep Learning

基于视觉的目标检测与跟踪方法是当前最火热的研究方向之一。近年来,随着无人机技术的快速发展,利用无人机航拍技术进行目标检测与跟踪也成了研究的热点。对于无人机目标检测,首先探讨了无人机航拍目标检测与跟踪任务的复杂性和难点,并着重介绍了以深度学习为基础的目标检测算法;针对无人机目标跟踪技术,深入探讨了以相关滤波为基础和以深度学习为基础的两种判别式目标跟踪算法;最后,总结并展望了在无人机领域目标检测与跟踪技术的应用前景。

Visual object detection and tracking methods have always been one of the most popular research directions.In recent years,with the rapid development of UAV technology,the use of UAV aerial photography technology for target deteetion and tracking has become a research holspot.As for UAV target detection,the complexity and challenges of UAV aerial photography target detection and tracking tasks are discussed,and the target dection algorithms based on deep learning are introduced in detail.In adition,as for UAV target tracking technology,two discriminative tracking algorithms based on correlation filtering and deep leaming are discussed in depth.Finally,the prospect of target detection and tracking technology applied to UAV field is summarized.