Real Time Video Processing and Object Detection on Mobile - Tapa blanda

Deore, Pramod J.; Arjun Patil, Shailaja; Chaudhari, Sunil B.

 
9783330082922: Real Time Video Processing and Object Detection on Mobile
Tapa blanda
ISBN 10: 3330082925 ISBN 13: 9783330082922
Editorial: LAP LAMBERT Academic Publishing, 2017

Sinopsis

As Smartphone is getting more potent, can do more superior stuffs that previous required a computer. For employing the high processing power of Smartphone is mobile computer vision, the ability for a device to capture; process; analyze; under- standing of images. For mobile computer vision, Smartphone must be faster and real time. In this book three applications have been developed on an Android platform using OpenCV and in built core library with own implemented algorithms called as CamTest. Real Time video processing methods are applied to each video frame captured from Smartphone, that is running on an Android platform. Effi- ciency of two Android applications have been compared with respect to video frame processing rate and found that OpenCV performs faster than the CamTest. Real Time object detection in mobile computer vision on Android is complicated task as it requires high performance. We analyzed object detection algorithms such as Scale Invariant Feature Transform (SIFT), Speeded Up Feature Transform (SURF), Fea- tures from Accelerated Segment Test (FAST), Maximally Stable Extremal Regions (MSER), Oriented FAST and Rotated BRIEF (ORB), Binary Robust Independent.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

As Smartphone is getting more potent, can do more superior stuffs that previous required a computer. For employing the high processing power of Smartphone is mobile computer vision, the ability for a device to capture; process; analyze; under- standing of images. For mobile computer vision, Smartphone must be faster and real time. In this book three applications have been developed on an Android platform using OpenCV and in built core library with own implemented algorithms called as CamTest. Real Time video processing methods are applied to each video frame captured from Smartphone, that is running on an Android platform. Effi- ciency of two Android applications have been compared with respect to video frame processing rate and found that OpenCV performs faster than the CamTest. Real Time object detection in mobile computer vision on Android is complicated task as it requires high performance. We analyzed object detection algorithms such as Scale Invariant Feature Transform (SIFT), Speeded Up Feature Transform (SURF), Fea- tures from Accelerated Segment Test (FAST), Maximally Stable Extremal Regions (MSER), Oriented FAST and Rotated BRIEF (ORB), Binary Robust Independent.

Biografía del autor

Prof. Dr. Pramod J. Deore, BE (Electronics), ME ( Instrumentation), Phd (E & Tc). Prof. Shailaja Arjun Patil, BE (Electronics), ME (Electronics), Phd (Persuing), Mr.Chaudhari Sunil Bhimsing, BE (Electronics), ME ( E & Tc)E & Tc department, R C Patel Institute of Technology, Shirpur, Dist: Dhule, Maharashtra, India.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2017
Idioma
Inglés
ISBN 10 
3330082925
ISBN 13 
9783330082922
Encuadernación
Tapa blanda
Número de páginas
64
Contacto del fabricante
no disponible
Persona responsable
no disponible