gmm based vehicle counting system
A.Alad Manoj Peter,G.Ranganayagi,S.Nivetha
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:4 Issue:3 Year: 01 April,2016 Pages:833-838
Abstract
Vehicle detection is a process of identifying only the vehicles and a type of vehicle using the Gaussian Mixture Model (GMM). GMM algorithm segments the image based on Maximum Likelihood estimation (ML). The segmentation is completed by clustering each pixel into a component according to the ML estimation. After that Foreground detection technique is used to extract the vehicle. In our project the aim is to identify the vehicle and to count the number of vehicles. Initially the VGA camera is used to record the moving vehicles. Then the captured video is splitted into number of frames and then each frame is converted into gray scale image. After that GMM algorithm is implemented to segment the image and then foreground detection is applied to identify the vehicle.. The main objective of using Mat lab is to apply some mathematical calculations to image by converting the image into matrix format. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation.
Kewords
Vehicle detection, Gaussian Mixture Model, Vehicle counting
Reference
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