23,99 €
inkl. MwSt.
Versandfertig in 6-10 Tagen
12 °P sammeln
Andere Kunden interessierten sich auch für
![Moving Object Detection Using Background Subtraction]( "Moving Object Detection Using Background Subtraction")
Moving Object Detection Using Background Subtraction37,99 €![Real Time Background Subtraction using CUDA Architecture]( "Real Time Background Subtraction using CUDA Architecture")
Real Time Background Subtraction using CUDA Architecture29,99 €![Design Of A Real Time Eye Blink Detection For Effective HCI]( "Design Of A Real Time Eye Blink Detection For Effective HCI")
Design Of A Real Time Eye Blink Detection For Effective HCI32,99 €![Programming on Mobile Devices in School Programming Classes]( "Programming on Mobile Devices in School Programming Classes")
Programming on Mobile Devices in School Programming Classes23,99 €![Detection of SMS Spam Botnets in Mobile Devices]( "Detection of SMS Spam Botnets in Mobile Devices")
Detection of SMS Spam Botnets in Mobile Devices19,99 €![Using Wearable Devices for Habit Improvement]( "Using Wearable Devices for Habit Improvement")
Using Wearable Devices for Habit Improvement39,99 €![Algorithm for Interfacing of PPI Devices by Using 8088 Microprocessor]( "Algorithm for Interfacing of PPI Devices by Using 8088 Microprocessor")
Algorithm for Interfacing of PPI Devices by Using 8088 Microprocessor23,99 €
This book describes an automatic background-foreground detection for the purpose of further traffic analysis. The aim of this project was to investigate and implement the background removal algorithm that uses Gaussian Mixture Model to perform robust background subtraction in real time. This kind of a system can recognize the moving objects in the video sequence using only camera. It finds its application in traffic analysis. The implementation has been done firstly on a computer using C++ OpenCV library followed by translating the code for being executable on Android device.