目标检测算法综述

Xu Zhou, Guojun Lin
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引用次数: 1

摘要

物体检测是计算机视觉和数字图像处理的一个热门方向,广泛应用于机器人导航、智能视频监控、工业检测、航空航天等领域,利用计算机视觉降低人力资本消耗具有重要的现实意义。由于深度学习的广泛应用,目标检测算法得到了迅速发展。本文主要介绍了传统的目标检测算法和两种基于深度学习的目标检测算法以及目标检测中常用的数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review of Target Detection Algorithms
Object detection is a popular direction of computer vision and digital image processing, which is widely used in robot navigation, intelligent video surveillance, industrial detection, aerospace and other fields, using computer vision to reduce human capital consumption has important practical significance. Because of the wide application of deep learning, the algorithm of target detection has been developed rapidly. This paper mainly introduces the traditional target detection algorithm and two kinds of target detection algorithm based on depth learning and the data set commonly used in target detection.
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