The paper presents a new efficient method for performance evaluation of imaging seeker tracking algorithm. The method
utilizes multi features which associate with tracking point of each video frame, gets local score(LS) for every feature,
and achieves global score(GS) for given tracking algorithm according to the combined strategy. The method can be
divided into three steps. In a first step, it extracts evaluation feature from neighbor zone of each tracking point. The
feature may include tracking error, shape of target, area of target, tracking path, and so on. Then, as to each feature, a
local score can be got rely on the number of target which tracked successfully. It uses similarity measurement and
experiential threshold between neighbor zone of tracking point and target template to define tracking successful or not.
Of course, the number should be 0 or 1 for single target tracking. Finally, it assigns weight for each feature according to
the validity grade for the performance. The weights multiply by local scores and normalized between 0 and 1, this gets
global score of certain tracking algorithm. By compare the global score of each tracking algorithm as to certain type of
scene, it can evaluate the performance of tracking algorithm quantificational. The proposed method nearly covers all
tracking error factors which can be introduced into the process of target tracking, so the evaluation result has a higher
reliability. Experimental results, obtained with flying video of infrared imaging seeker, and also included several target
tracking algorithms, illustrate the performance of target tracking, demonstrate the effectiveness and robustness of the
proposed method.
We present a new efficient method for infrared image enhancement in the general infrared imaging system. The method
is based on the local, adaptive and nonlinear image processing theory. We use spatial blocks and gray segmentations to
eliminate the problem of valid gray level's compression in the process of re-mapping gray when there exists infrared
jamming or wide dynamic-range scene. The proposed method is suitable for parallel implementation, since all blocks can
be calculated simultaneous. Experimental results, obtained with real infrared image sequences, illustrating a wide gray
range scene and high temperature infrared jamming, demonstrate the effectiveness and robustness of the proposed
method.
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