Visual sense tracking method based on target characteristic and bayesian filtering
A technology of Bayesian filtering and visual tracking, which is applied in image data processing, instrumentation, computing, etc., can solve problems such as movement difficulties, achieve high tracking accuracy and improve performance
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 The present invention will be further described in detail below in conjunction with examples.
 Take human tracking as an example, refer to figure 1 , The visual tracking method based on target features and Bayesian filtering includes the following steps:
 1) Establish system model and observation model according to the actual movement of the target;
 System model x k =Ax k-1 +v k
 target state x at time k k = (X, y, v x , V y , W, h, o w , O h , A x , A y ) T , Where (x, y) is the center coordinate of the target; (v x , V y ) Is the moving speed of the target center coordinates in the X-axis and Y-axis directions; (w, h) is the width and height of the target area; (o w , O h) Is the rate of change of width and height; (a x , A y ) Is the acceleration of the target in the X-axis and Y-axis directions.
 The system state transition matrix A is:
 A = 1 ...
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