Share

Moving Objects Detection Using Machine Learning

2022-01-01 Technology & Engineering
Download Moving Objects Detection Using Machine Learning PDF Online Free

Author :
Release : 2022-01-01
Genre : Technology & Engineering
Kind : eBook
Book Rating : 107/5 ( reviews)

GET EBOOK


Book Synopsis Moving Objects Detection Using Machine Learning by : Navneet Ghedia

Download or read book Moving Objects Detection Using Machine Learning written by Navneet Ghedia. This book was released on 2022-01-01. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how machine learning can detect moving objects in a digital video stream. The authors present different background subtraction approaches, foreground segmentation, and object tracking approaches to accomplish this. They also propose an algorithm that considers a multimodal background subtraction approach that can handle a dynamic background and different constraints. The authors show how the proposed algorithm is able to detect and track 2D & 3D objects in monocular sequences for both indoor and outdoor surveillance environments and at the same time, also able to work satisfactorily in a dynamic background and with challenging constraints. In addition, the shows how the proposed algorithm makes use of parameter optimization and adaptive threshold techniques as intrinsic improvements of the Gaussian Mixture Model. The presented system in the book is also able to handle partial occlusion during object detection and tracking. All the presented work and evaluations were carried out in offline processing with the computation done by a single laptop computer with MATLAB serving as software environment.

Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

2021-01-29 Computers
Download Examining the Impact of Deep Learning and IoT on Multi-Industry Applications PDF Online Free

Author :
Release : 2021-01-29
Genre : Computers
Kind : eBook
Book Rating : 172/5 ( reviews)

GET EBOOK


Book Synopsis Examining the Impact of Deep Learning and IoT on Multi-Industry Applications by : Raut, Roshani

Download or read book Examining the Impact of Deep Learning and IoT on Multi-Industry Applications written by Raut, Roshani. This book was released on 2021-01-29. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings. Examining the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers’ points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.

Moving Object Detection Using Background Subtraction

2014-06-20 Computers
Download Moving Object Detection Using Background Subtraction PDF Online Free

Author :
Release : 2014-06-20
Genre : Computers
Kind : eBook
Book Rating : 869/5 ( reviews)

GET EBOOK


Book Synopsis Moving Object Detection Using Background Subtraction by : Soharab Hossain Shaikh

Download or read book Moving Object Detection Using Background Subtraction written by Soharab Hossain Shaikh. This book was released on 2014-06-20. Available in PDF, EPUB and Kindle. Book excerpt: This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors identify common challenges faced by researchers including gradual or sudden illumination change, dynamic backgrounds and shadow and ghost regions. This brief concludes with predictions on the future scope of the methods. Clear and concise, this brief equips readers to determine the most effective background subtraction method for a particular project. It is a useful resource for professionals and researchers working in this field.

Object Detection with Deep Learning Models

2022-11-01 Computers
Download Object Detection with Deep Learning Models PDF Online Free

Author :
Release : 2022-11-01
Genre : Computers
Kind : eBook
Book Rating : 744/5 ( reviews)

GET EBOOK


Book Synopsis Object Detection with Deep Learning Models by : S Poonkuntran

Download or read book Object Detection with Deep Learning Models written by S Poonkuntran. This book was released on 2022-11-01. Available in PDF, EPUB and Kindle. Book excerpt: 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

Deep Learning for Computer Vision

2019-04-04 Computers
Download Deep Learning for Computer Vision PDF Online Free

Author :
Release : 2019-04-04
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis Deep Learning for Computer Vision by : Jason Brownlee

Download or read book Deep Learning for Computer Vision written by Jason Brownlee. This book was released on 2019-04-04. Available in PDF, EPUB and Kindle. Book excerpt: Step-by-step tutorials on deep learning neural networks for computer vision in python with Keras.

You may also like...