車牌自動檢測與識別 (英文) 劉豔 陳松路 9787524000846 【台灣高等教育出版社】

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書名：車牌自動檢測與識別 (英文)
ISBN：9787524000846
出版社：冶金工業
著編譯者：劉豔 陳松路
頁數：131
所在地：中國大陸 *此為代購商品
書號：1718634
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內容簡介

本書共包括10章。第1章介紹了本書的寫作背景和意義，並簡要概述寫作框架。第2章至第5章重點介紹車牌檢測方法，解決通過車牌關係挖掘檢測小車牌和多方向車牌等挑戰。第6章至第8章主要介紹車牌識別方法，討論與快速識別、多類型車牌識別以及低資源識別相關的問題。第9章至第10章主要介紹端到端的車牌檢測和識別方法，重點是將檢測和識別集成到一個統一的網絡中，以獲得更有效和高效的結果。本書的讀者對象主要是從事智能交通系統、計算機視覺、光學字元識別和相關領域工作的研究人員和工程師，也可供大專院校自動化專業的師生閱讀參考。

目錄

Chapter 1 Introduction
1 1 Motivation
1 2 Outline of the book
Chapter 2 Simultaneous End-to-End Vehicle and License Plate Detection with Multi-Branch Attention Neural Network
2 1 Problem formulation
2 2 Problem formulation
2 3 Experiments
Chapter 3 Scale-Invariant Multidirectional License Plate Detection with the Network Combining Indirect and Direct Branches
3 1 Problem formulation
3 2 Methodology
3 3 Experiments
Chapter 4 Improving Small License Plate Detection with Bidirectional Velucle-plate Relation
4 1 Problem formulation
4 2 Methodology
4 2 1 Network architecture
4 2 2 Training objective
4 3 Experiments
4 3 1 Datasets
4 3 2 Valuation protocols
4 3 3 Ablation study
4 3 4 Comparative experiments
Chapter 5 Vertex Adjustment Loss for Multidirectional License Plate Detection and Recognition
5 1 Problem formulation
5 2 Methodology
5 3 Experiments
5 3 1 Datasets
5 3 2 Evaluation metrics
5 3 ，3 Ablation study
5 3 4 Comparative experiments
5 3 5 License plate detection on CCPDv2 subsets
5 3 6 License plate recognition on CCPDv
5 3 7 Experiments on CLPD and RodoSol-ALPR
5 3 8 Experiments on ICDAR
Chapter 6 Fast Recognition for Multidirectional and Multi-type License Plates with 2D Spatial Attention
6 1 Problem formulation
6 2 Methodology
6 3 Experiments
Chapter 7 Improving Multi-type License Plate Recognition via Learning Globally and Contrastively
7 1 Problem formulation
7 2 Methodology
7 2 1 Encoder
7 2 2 Global modeling module
7 2 3 Decoder
7 2 4 Position-aware contrastive learning
7 2 5 Prediction module
7 3 Experiments
7 3 1 Datasets
7 3 2 Experiments on benchmarks
7 3 3 Ablation study
7 3 4 Attention visualization
7 3 5 T-sne visualization
7 3 6 Discussion
Chapter 8 Towards Low-resource License Plate Recognition via Feature Shuffling
8 1 Problem formulation
8 2 Methodology
8 3 Experiments
Chapter 9 End-to-End Multi-line License Plate Recognition with Cascaded Perception
9 1 Problem formulation
9 2 Methodology
9 2 1 Backbone
9 2 2 License plate detection
9 2 3 Recognition feature extraction
9 2 4 License plate recognition
9 3 Experiments
9 3 1 Datasets and evaluation metrics
9 3 2 Ablation study
9 3 3 Comparative experiments on multi-line license plates
9 3 4 Comparative experiments on single-line license plates
9 3 5 Cross-dataset experiments
Chapter 10 Multi-task Learning for License Plate Recognition in Unconstrained Scenarios
10 1 Problem formulation
10 2 Methodology
10 3 Experiments
References

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