
Object Detection with Deep Learning Models
Principles and Applications
- 266 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Object Detection with Deep Learning Models
Principles and Applications
About this book
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
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Information
Table of contents
- Cover Page
- Half Title page
- Title Page
- Copyright Page
- Contents
- Editors
- List of Contributors
- 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 Management, Using Video Processing
- 6 Automated Vehicle Number Plate Recognition System, Using Convolution Long Short-Term Memory Technique
- 7 Deep Learning-Based Indian Vehicle Number Plate Detection and Recognition
- 8 Smart Diabetes System Using CNN in Health Data Analytics
- 9 Independent Automobile Intelligent Motion Controller and Redirection, Using a 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 Images with Deep Learning-based Fusion Technique
- 13 Human Behavioral Identifiers: A Detailed Discussion
- Index