Introduction : deep learning and computer vision / A.S. Renugadevi -- Object detection frameworks and services in computer vision / Sachi Choudhary, Rashmi Sharma, Gargeya Sharma -- Real time tracing and alerting system for vehicles and children to ensure safety and security using lab view / R. Deepalakshmi, R. Vijayalakshmi -- Mobile application based assistive system for visually -- impaired peoples : a hassle-free shopping support system / E. Ramanujam, M. Manikandakumar -- Traffic density and on road moving object detection management using video processing / Ankit Shrivastava, Poonkuntran Shanmugam -- Automated vehicle number plate recognition system using convolution long short-term memory technique / S. Srinivasan, D. Prabha, N. Mohammed Raffic, K. Ganesh Babu, S. Thirumurugaveerakumar, K. Sangeetha -- Deep learning based Indian-vehicle number plate detection and recognition / Arun Anoop M, S.Poonkuntran, P.Karthikeyan -- Smart diabetes system using CNN in health data anaytics / P. Ravikumaran, K. Vimala Devi, K. Valarmathi -- Independent automobile intelligent motion controller and redirection using deep learning system / S. Aanjanadevi, V. Palanisamy, S. Aanjankumar, S. Poonkuntran, P. Karthikeyan -- Deep learning solutions for pest detection / C. Nandhini, M. Brindha -- Deep learning solutions for pest identification in agriculture / Monika Vyas, Amit Kumar, Vivek Sharma -- A complete framework for LULC classification of madurai remote sensing image with deep learning based fusion technique / T. Gladima, Nisia S. Rajesh -- Human behavioural identifiers-a detailed discussion / T. SubaNachiar, T. Shanmuga Priya, P.R. Hemalatha, J.V Anchitaalagammai.

"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"-- Provided by publisher.

OCLC-licensed vendor bibliographic record.