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In this research, we propose the image correction method for low-illuminance image of the normal video camera. In the motion recognition for low-light video images which was filmed at night, it is possible to improve the accuracy of recognition by intensity correction and noise removal as preparation. It is possible to realize robust motion recognition to the changes in illumination. Therefore, in...
We address here the problem of color constancy and propose two new methods for achieving color constancy-the first method uses denoising techniques such as a Gaussian filter, Median filter, Bilateral filter and Non-local means filter to smooth the image for illuminant estimation, while the second method acts in the frequency domain by doing a cepstral analysis of the image. We provide extensive validation...
Complex motion makes consecutive frames experience dramatic change, and thus becomes a barrier to object-tracking. Three factors contribute to more complexity of motion: longer sampling period,an moving object with complex appearance and nonrestraint movement, occlusion, which causes mean shift algorithm losing its target due to too low a Bhattacharyya coefficient. To treat it, mean shift algorithm...
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