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This paper present a fast algorithm for detection of low contrast objects by using wavelet filters based on lifting scheme. The advantage is robust to noise. According Swelden's, lifting wavelet filters are biorthogonal wavelet filters containing free parameters . We use reference image of targets to train the lifting terms, so that the learnt wavelet filters have the features of targets. Then applying...
In feature-level fusion recognition system, there are two main missions. One is improving the recognition correct rate as soon as possible; the other is optimizing system sensor design to get outstanding cost performance. So feature selection become usually necessary to reduce dimensionality of the combination of multi-sensor features and improve system performance in system design. In general, the...
Object real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper, we combine intensity, orientation codes and special information to form a new intensity-orientation...
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