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23 March 1986 Centroid Tracker Aim Point Estimation In The Presence Of Sensor Noise And Clutter
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The development of automatic target tracking systems has enabled more accurate determination of target position, velocity, acceleration, and other parameters needed for weapons guidance and target designation. With the advent of low cost, high speed digital computers and image processing hardware, it has become more and more feasible to incorporate digital image processing techniques in target tracking systems. When computing target position ( aim point) from discrete images, several problems can arise. A major problem is caused by noise. In target tracking noise originates from two sources. The first source is system and sensor noise. This is usually modeled by additive white Gaussian noise. Another type of noise is caused by clutter near the target. Clutter objects can make it more difficult for the tracker to separate the target from its surrounding background. The result is target pixels can be classified as background pixels and visa versa. This, in turn, causes errors in computing the target aim point. An investigation of the effects of system and sensor noise on target tracking is presented. Two statistical models are derived and simulation results are presented showing the accuracy of the models. The results obtained are applicable to the clutter noise case when clutter causes pixel classification errors which are random in nature.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Don R. Van Rheeden and Richard A. Jones "Centroid Tracker Aim Point Estimation In The Presence Of Sensor Noise And Clutter", Proc. SPIE 0698, Real-Time Signal Processing IX, (23 March 1986);


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