A Method Based on Background Subtraction and Kalman Filter Algorithm for Object Tracking
Shridevi S. Vasekar, Sanjivani K. Shah · 2018
Today the world is facing major problem in terms of public security for which visual surveillance system is required. Object tracking gains lots of interest for active research in applications such as video surveillance, vehicle navigation, video compression etc. Different techniques are developed for object tracking purpose but that suffers from degradation in performance due to occlusions, complex shapes and illuminations. In this proposed work, discovery of the moving item has been finished utilizing straightforward background subtraction and a Kalman filter algorithm. Following algorithm has been actualized and tried on Matlab 2013a (64 bit) with working framework windows. Method compares and analyzes various performance measures with other algorithms.