Object Detection with Deep Learning Models: Principles and Applications
暫譯: 深度學習模型的物體偵測:原則與應用

Poonkuntran, S., Kumar Dhanraj, Rajesh, Balusamy, Balamurugan

  • 出版商: CRC
  • 出版日期: 2022-11-01
  • 售價: $4,790
  • 貴賓價: 9.5$4,551
  • 語言: 英文
  • 頁數: 266
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032074000
  • ISBN-13: 9781032074009
  • 相關分類: DeepLearning
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Object Detection with Deep Learning Models discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval.

The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks.

Features:

  • A structured overview of deep learning in object detection
  • A diversified collection of applications of object detection using deep neural networks
  • Emphasize agriculture and remote sensing domains
  • Exclusive discussion on moving object detection

商品描述(中文翻譯)

《深度學習模型的物體偵測》討論了使用深度學習方法在物體偵測和識別方面的最新進展,這些方法在計算機視覺和圖像處理領域取得了巨大的成功。它提供了對深度學習理論及其在計算機視覺應用中的最新發展的系統性和有條理的概述,並通過關鍵主題進行說明,包括物體偵測、面部分析、3D物體識別和圖像檢索。

本書理論與實踐相結合,適合對深度學習、計算機視覺及其他相關領域感興趣的學生、研究人員和從業者,也可作為參考書籍。對各種深度學習應用的全面比較幫助讀者在具備基本機器學習和微積分知識的基礎上理解理論,並激發在其他計算機視覺任務中的應用。

特點:
- 物體偵測中深度學習的結構化概述
- 使用深度神經網絡的物體偵測應用的多樣化集合
- 強調農業和遙感領域
- 獨家討論移動物體偵測

作者簡介

Poonkuntran Shanmugam earned a BE degree in Information Technology from Bharathidasan University, Tiruchirapalli, India; and MTech and PhD degrees in Computer and Information Technology from Manonmaniam Sundaranar University, Tirunelveli, India. He is presently with VIT Bhopal University, Madhya Pradesh, India as Professor & Dean for the School of Computing Science and Engineering. He has more than a decade of experience in teaching and research and successfully executed three funded research grant projects from the Indian Space Research Organization, Defense Research Development Organization, and Ministry of New and Renewable Energy, Government of India, to the tune of 1.10 Crores. He received two seminar grants from Anna University, Chennai, and the All India Council for Technical Education-Indian Society for Technical Education for the tune of 4 Lacs. He has published more than 80 technical publications, authored 6 books and 2 chapters. He is the recipient of Cognizant Best Faculty Award 2017-18 and served as a State Level Student Coordinator for Region VII, CSI, India in 2016-17. He is a lifetime member of IACSIT, Singapore, CSI, India, and ISTE, India. His research areas of interests include information security, computer vision, artificial intelligence, and machine learning.

Dr Rajesh Kumar Dhanraj is a Professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, India. He earned a BE degree in Computer Science and Engineering from the Anna University Chennai, India in 2007, then an MTech from the Anna University Coimbatore, India in 2010 and a PhD in Computer Science from Anna University, Chennai, India, in 2017. He has contributed to 30+ authored and edited books on various technologies, 21 Patents and 53 articles and papers in various refereed journals and international conferences and contributed chapters to books. His research interests include Machine Learning, Cyber-Physical Systems and Wireless Sensor Networks. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), member of the Computer Science Teacher Association (CSTA), and the International Association of Engineers (IAENG). He is an associate editor and guest editor for reputed journals. He is an Expert Advisory Panel Member of Texas Instruments Inc., USA.

Balamurugan Balusamy is currently an Associate Dean Student in Shiv Nadar University, Delhi-NCR. Prior to this assignment he was Professor, School of Computing Sciences & Engineering and Director of International Relations at Galgotias University, Greater Noida, India. His contributions focus on Engineering Education, Block Chain and Data Sciences. His Academic degrees and twelve years of experience working as a faculty member in a global University like VIT University, Vellore, has made him more receptive and prominent in his domain. He has 200 plus high impact factor papers in Springer, Elsevier and IEEE. He has done more than 80 edited and authored books and collaborated with eminent professors across the world from top QS ranked universities. Prof. Balamurugan Balusamy has served up to the position of associate professor in his 12 years stint with VIT University, Vellore. He completed his Bachelors, Masters and PhD degrees at top premier institutions in India. His passion is teaching, and he adapts different design thinking principles while delivering his lectures. He has published 80+ books several top-notch conferences in his resume and has published over 200 quality journal articles, conferences and book chapters combined. He serves in the advisory committee for several start-ups and forums and does consultancy work for industry on Industrial IOT. He has given over 195 talks at various events and symposiums.

作者簡介(中文翻譯)

Poonkuntran Shanmugam 於印度提魯奇拉帕利的巴哈拉提達山大學獲得資訊科技學士學位,並於印度提魯內維利的馬諾馬尼亞姆·蘇達拉納大學獲得計算機與資訊科技的碩士及博士學位。他目前在印度中央邦的VIT博帕爾大學擔任計算科學與工程學院的教授及院長。他在教學和研究方面擁有超過十年的經驗,成功執行了三個來自印度空間研究組織、國防研究與發展組織及印度政府新與可再生能源部的資助研究計畫,總金額達1.10克羅爾。他獲得了來自安娜大學(Chennai)和全印度技術教育委員會-印度技術教育學會的兩項研討會資助,金額為4萬盧比。他已發表超過80篇技術論文,著作6本書籍及2章。他是2017-18年Cognizant最佳教師獎的獲得者,並於2016-17年擔任印度計算機學會第七區的州級學生協調員。他是新加坡IACSIT、印度CSI及印度ISTE的終身會員。他的研究興趣包括資訊安全、計算機視覺、人工智慧及機器學習。

Dr Rajesh Kumar Dhanraj 是印度大諾伊達Galgotias大學計算科學與工程學院的教授。他於2007年在印度Chennai的安娜大學獲得計算機科學與工程學士學位,然後於2010年在印度Coimbatore的安娜大學獲得碩士學位,並於2017年在印度Chennai的安娜大學獲得計算機科學博士學位。他對30多本各種技術的著作和編輯書籍、21項專利以及在各種同行評審期刊和國際會議上發表的53篇文章和論文做出了貢獻,並為書籍撰寫章節。他的研究興趣包括機器學習、網絡物理系統和無線感測器網絡。他是電氣與電子工程師學會(IEEE)的資深會員,計算機科學教師協會(CSTA)及國際工程師協會(IAENG)的會員。他是多本知名期刊的副編輯和客座編輯。他是美國德州儀器公司的專家諮詢小組成員。

Balamurugan Balusamy 目前是德里-NCR的Shiv Nadar大學的副院長學生。在此之前,他是印度大諾伊達Galgotias大學計算科學與工程學院的教授及國際關係主任。他的貢獻集中在工程教育、區塊鏈和數據科學。他的學術學位和在VIT大學(Vellore)等全球大學擔任教職的十二年經驗,使他在其領域中更具接受度和知名度。他在Springer、Elsevier和IEEE上發表了200多篇高影響因子論文。他編輯和著作了超過80本書籍,並與來自全球頂尖QS排名大學的著名教授合作。Balamurugan Balusamy教授在VIT大學(Vellore)工作12年期間晉升至副教授職位。他在印度的頂尖高等院校完成了學士、碩士和博士學位。他熱愛教學,並在授課時採用不同的設計思維原則。他的履歷中有80多本書籍和多個頂尖會議的發表,並綜合發表了超過200篇高品質的期刊文章、會議論文和書籍章節。他在多個初創企業和論壇的諮詢委員會中任職,並為工業物聯網進行顧問工作。他在各種活動和研討會上發表了超過195次演講。