Object detection with deep learning models : principles and applications /: principles and applications. (2022)
- Record Type:
- Book
- Title:
- Object detection with deep learning models : principles and applications /: principles and applications. (2022)
- Main Title:
- Object detection with deep learning models : principles and applications
- Further Information:
- Note: Edited by S. Poonkuntran, Rajesh Kumar Dhanraj, Balamurugan Balusamy.
- Editors:
- Poonkuntran, S
Dhanraj, Rajesh Kumar
Balusamy, Balamurugan - Contents:
- Editors............................................................................................................................................. vii List of Contributors.........................................................................................................................ix 1. Introduction: Deep Learning and Computer Vision ......................................................1 A.S. Renugadevi 2. Object Detection Frameworks and Services in Computer Vision .............................23 Sachi Choudhary, Rashmi Sharma, and Gargeya Sharma 3. Real-Time Tracing and Alerting System for Vehicles and Children to Ensure Safety and Security, Using LabVIEW ..............................................................................49 R. Deepalakshmi and R. Vijayalakshmi 4. Mobile Application-based Assistive System for Visually Impaired People: A Hassle-Free Shopping Support System ......................................................................65 E. Ramanujam and M. Manikandakumar 5. Traffic Density and On-road Moving Object Detection Management, Using Video Processing .................................................................................................................81 Ankit Shrivastava and S. Poonkuntran 6. Automated Vehicle Number Plate Recognition System, Using Convolution Long Short-Term Memory Technique ...........................................................................101 S. Srinivasan, D. Prabha, N. Mohammed Raffic, K. GaneshEditors............................................................................................................................................. vii List of Contributors.........................................................................................................................ix 1. Introduction: Deep Learning and Computer Vision ......................................................1 A.S. Renugadevi 2. Object Detection Frameworks and Services in Computer Vision .............................23 Sachi Choudhary, Rashmi Sharma, and Gargeya Sharma 3. Real-Time Tracing and Alerting System for Vehicles and Children to Ensure Safety and Security, Using LabVIEW ..............................................................................49 R. Deepalakshmi and R. Vijayalakshmi 4. Mobile Application-based Assistive System for Visually Impaired People: A Hassle-Free Shopping Support System ......................................................................65 E. Ramanujam and M. Manikandakumar 5. Traffic Density and On-road Moving Object Detection Management, Using Video Processing .................................................................................................................81 Ankit Shrivastava and S. Poonkuntran 6. Automated Vehicle Number Plate Recognition System, Using Convolution Long Short-Term Memory Technique ...........................................................................101 S. Srinivasan, D. Prabha, N. Mohammed Raffic, K. Ganesh Babu, S. Thirumurugaveerakumar, and K. Sangeetha 7. Deep Learning-based Indian Vehicle Number Plate Detection and Recognition ......................................................................................................................... 117 M. Arun Anoop, S. Poonkuntran, and P. Karthikeyan 8. Smart Diabetes System Using CNN in Health Data Analytics ................................137 P. Ravikumaran, K. Vimala Devi, and K. Valarmathi 9. Independent Automobile Intelligent Motion Controller and Redirection, Using a Deep Learning System ......................................................................................165 S. Aanjanadevi, V. Palanisamy, S. Aanjankumar, S. Poonkuntran, and P. Karthikeyan 10. Deep Learning Solutions for Pest Detection ...............................................................179 C. Nandhini and M. Brindha 11. Deep Learning Solutions for Pest Identification in Agriculture ..............................199 Monika Vyas, Amit Kumar, and Vivek Sharma 12. A Complete Framework for LULC Classification of Madurai Remote Sensing Images with Deep Learning-based Fusion Technique ...............................215 T. Gladima Nisia and S. Rajesh 13. Human Behavioral Identifiers: A Detailed Discussion .............................................237 T. Suba Nachiar, T. Shanmuga Priya, P.R. Hemalatha, and J.V. Anchitaalagammai Index ..............................................................................................................................................253 … (more)
- Edition:
- 1st
- Publisher Details:
- Boca Raton : Chapman & Hall/CRC
- Publication Date:
- 2022
- Extent:
- 1 online resource
- Subjects:
- 006.37
Computer vision
Pattern recognition systems
Deep learning (Machine learning) - Languages:
- English
- ISBNs:
- 9781000686791
9781000686746
9781003206736 - Related ISBNs:
- 9781032074009
- Notes:
- Note: Description based on CIP data; resource not viewed.
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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.727366
- Ingest File:
- 14_052.xml