Moving Object Detection Based on a Combination of Kalman Filter and Median Filtering

The task of determining the distance from one object to another is important tasks solved in robotics systems. Conventional algorithms rely on an iterative process predicting estimates, which results increased computational burden. Algorithms used robotic systems should require minimal time costs, as well be resistant presence noise. To solve these problems, paper proposes algorithm for Kalman combination filtering with a Goldschmidt divisor and median filter. Software simulation showed increase accuracy estimate developed comparison traditional algorithm, speed algorithm. obtained can effectively applied various computer vision