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《Industrial Control Computer》 2015-12
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A Practical Infrared Target Tracking Algorithm Based on Particle Filter

The Particle Filter Algorithm has characters of nonlinearity and non-Gaussian noise,and which completes the Bayesian recursive process through Monte-Carlo method,so which can be used to solve the problem of infrared target tracking.An actual infrared target tracking algorithm is given on the basis of derivation of Particle Filter Algorithm and used in an actual application system.The application result shows that which works effectively in an actual infrared target image tracking system.
【CateGory Index】: TP391.41
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