Journal Title : International Journal of Modern Trends in Engineering and Science
Volume 03 Issue 07 2016
ISSN no: 2348-3121
Page no: 51-53
Abstract – This paper is mainly focuses on to track and detect the moving objects in video.In this we recommended a technique called the multiple cameras monitor an area from different angles Video recorded by the cameras contain complementary information and fusing the knowledge embedded in the video facilitates the development of a robust and accurate counting system.Those task of cameras that have different settings,we propose a correspondence estimation algorithm, Gobar and kalman filters that maps each segmented group of pedestrians in one view to the corresponding group in another view.We call these corresponding groups matched blob clusters,each of which enables knowledge to be shared between cameras.It follows that we present a two-pass regression framework for multiview people counting.
Keywords— Object detection, Kalman filter, Gobar filter
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