Książka Real-Time Moving Object Detection and Tracking Using SURF Muhammad Fari

Real-Time Moving Object Detection and Tracking Using SURF

Real-Time Moving Object Detection and Tracking Using Speed Up Robust Features (SURF)

Autor: Muhammad Fari
Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 8-11 dni
132.03
Object detection and tracking is one of the most researched areas in computer vision and is receivin...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2016
strony
72
EAN
9783330004467
ISBN
3330004460
Enbook ID
15561016
Waga
124
Wymiary
150 x 220 x 4

Pełny opis

Object detection and tracking is one of the most researched areas in computer vision and is receiving a growing attention because of its wide areas of applications which include surveillance, industrial inspection, robotics, mobiles, and 3D gaming among others. Object detection and tracking can be done using variety of tools available such OpenCV developed by Intel, officially launched in the year 1999, Emgu CV, Matlab, etc. The OpenCV library contains over 500 functions that cover many areas in vision, product inspection, medical imaging, security, user interface, camera calibration, stereo vision and robotics. The Real- Time Moving Object Detection and Tracking System algorithm is developed in Microsoft Visual Basic 2010 express edition using Speed Up Robust Features available in OpenCV and EmguCV libraries which are used for the image processing and computer vision tasks. A Logitech C310 High Definition (HD) webcam with 5 Mega Pixel (MP) is used for the purpose of real-time detection and tracking. The system can detect an object from a still image containing many other objects as well as detect and track objects using WebCam.

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