Abstract

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REAL TIME MOVING OBJECT TRACKING USING CORRECTED BACKGROUND WEIGHTED HISTOGRAM AND KALMAN FILTER FOR AN AIRCRAFT

Gargi G, Sudesh K Kasyap, VPS Naidu, Ajesh M A


The paper presents an approach for the real time tracking of the moving object in a video stream obtained from a moving airborne platform. The real time tracking means that the user can select the target from any frame at any instant. The Corrected Background Weighted Histogram (CBWH) based Mean Shift algorithm is used for designing the tracking algorithm. Which can effectively reduce the background interferences from the target representation and has high tracking accuracy than general tracking algorithms.