Object tracking under low signal-to-noise-ratio with the instantaneous-possible-moving-position model

► The model characterizes the motion of objects in short time interval based on visuals. ► Expectation-Maximization (EM) algorithm is adopted to estimate the parameters. ► Proposing model stability to evaluate tracking feasibility. ► The promises for point-shaped object tracking are proved by synthetic and image data set.