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Automatic tracking and positioning algorithm of motion object in complex environment

Abstract The problem of large error in automatic tracking and positioning of moving targets in complex environment is discussed. A method of target tracking and positioning based on probability analysis for moving images in complex environment is proposed. The likelihood and prior probability characteristics of moving target under complex background is calculated, and the optimal label of foreground jitter image contour is calculated using probability theory to identify the target region of moving image of the current frame in the complex state, and effectively complete the moving image tracking and marking in complex state. Experimental results show that the proposed method can accurately predict foreground objects in complex images, and improve the stability of target tracking.