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According to the needs of dim and small targetdetection, a new detection algorithm based on wavelet transform and image fusion is put forward in the paper. In this algorithm, firstly, the original image is decomposed and reconstructed by wavelet and it is separated into a low frequency image and some high frequency images., secondly, the low frequency image is removed and the high frequency images...
This paper presents a novel dissolve detection method based on accumulating histogram difference (AHD) and support points. The proposed algorithm can detect fades and dissolves and avoid the false detection caused by the flashlight. In terms of recall, precision, computational complexity per frame and computational complexity per pixel, we compare our method with the Twin algorithm and the Two Measures...
A new fast corner detection algorithm is proposed by the discriminant introduction of the corner "quality?? considering the defect of the traditional algorithm using SUSAN method. With the fast hierarchical algorithm based on SUSAN method, the coarse positions of corners are quickly determined firstly. Secondly, the discriminant introduction of the corner "quality" reduces the amount...
This paper combines the mean shift algorithm with the Kalman filer for target tracking. First, the starting position of mean shift is found by the Kalman filter, then the mean shift uses it to track the object position. The occlusion problem is a difficult problem during target tracking. When severe occlusion problem takes place, a novel method is proposed to solve this problem in this paper. In that...
In this paper, it proposes an object tracking algorithm based-on the Kalman filter combined with the mean-shift algorithm. It can predict the object motion more accurate with Kalman filter, including position and velocity. And the adjacent locations of the predicted point are defined as the search window. In the search window, the position of object is fixed on by mean-shift. The experiment results...
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