基于小目标遮挡感知的烟头检测算法.docxVIP

基于小目标遮挡感知的烟头检测算法

目录

1.内容概览................................................3

1.1研究背景与意义.......................................4

1.2研究内容与方法概述...................................5

1.3文档结构说明.........................................6

2.相关工作................................................7

2.1烟头检测技术研究进展.................................8

2.2遮挡感知技术在图像处理中的应用......................10

2.3小目标检测算法研究现状..............................11

3.烟头检测算法设计.......................................12

3.1目标检测算法选择....................................13

3.1.1基于深度学习的检测方法..........................14

3.1.2基于传统算法的检测方法..........................16

3.2遮挡感知机制构建....................................17

3.2.1遮挡类型识别....................................18

3.2.2遮挡程度评估....................................20

3.3小目标特征提取与描述................................21

3.3.1特征提取方法....................................22

3.3.2特征描述子设计..................................23

4.算法实现与优化.........................................24

4.1模型训练与调优......................................25

4.1.1数据集准备......................................27

4.1.2网络结构设计....................................29

4.1.3训练策略制定....................................30

4.1.4性能评估与调优..................................31

4.2遮挡感知模块实现....................................32

4.2.1遮挡类型识别模型................................34

4.2.2遮挡程度评估模型................................36

4.3小目标检测模块实现..................................37

4.3.1特征提取与描述子应用............................38

4.3.2目标检测算法实现................................40

5.实验验证与分析.........................................41

5.1实验环境搭建........................................43

5.2实验数据集说明......................................44

5.3实验结果展示........................................45

5.3.1烟头检测准确率..................................46

5.3.2遮挡感知效果评估................................47

5.3.3小目标检测性能分析..............................49

5.4实验结