Object Detection with Deep Learning Models : Principles and Applications

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Object Detection with Deep Learning Models : Principles and Applications

Poonkuntran, S (EDT)/ Kumar Dhanraj, Rajesh (EDT)/ Balusamy, Balamurugan (EDT)

ウェブストア価格 ¥12,162（本体¥11,057）
Chapman & Hall/CRC（2024/10発売）
外貨定価 US$ 59.99
ポイント 110pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 266 p.
言語 ENG
商品コード 9781032349244
DDC分類 006.37

Full Description

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

1. Introduction: Deep Learning and Computer Vision. 2. Object Detection Frameworks and Services in Computer Vision. 3. Real Time Tracing and Alerting System for Vehicles and Children To Ensure Safety and Security Using Labview. 4. Mobile Application based Assistive System for Visually Impaired People: A Hassle-free Shopping Support System. 5. Traffic Density and on-road Moving Object Detection Mangement using Video Processing. 6. Automate Vehicle Number Plate Recognition System using Convolution Long Short-term memory technique. 7. Deep Learning based Indian Vehicle Number Plater Detection and Recognitoin. 8. Smart Diabetes System using CNN in Health Data Analytics. 9. Independent Automobile Intelligent Motion Controller and Re-direction using Deep Learning system. 10. Deep Learning Solutions for Pest Detection. 11. Deep Learning Solutions for Pest Identification in Agriculture. 12. A complete Framework for LULC Classification of Madurai Remote Sensing Image with Deep Learning based Fusion Technique. 13. Human Behavioural Identifiers - A detailed discussion by T.SubaNachiar, T.Shanmuga Priya, P.R.Hemalatha, J.V Anchitaalagammai