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The Target Tracking Method Based on Camshift Algorithm Combined with SIFT

机译:基于CAMShift算法的目标跟踪方法与SIFT结合

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Since Camshift algorithm leads to failed tracking results when the color information of the target region is similar with the background or is not precise enough, to solve this problem a tracking method based on Camshift and SIFT was proposed in this paper. In this method, SIFT feature points, which were used to construct the color histogram and the color probability distribution, were extracted from the target region first. Then SIFT points were also extracted from the search region and these two sets of SIFT points were matched. Since the proposed method used the matched SIFT points to properly guide the location of targets, experimental results show that with the new method some more accurate and robust tracking results have been obtained.
机译:由于当目标区域的颜色信息与背景相似或不够精确时,凸轮频率算法导致跟踪结果发生故障,以解决该问题,本文提出了一种基于CACSHIFT和SIFT的跟踪方法。在该方法中,首先从目标区域提取用于构造颜色直方图和颜色概率分布的SIFT特征点。然后也从搜索区域中提取了SIFT点,并且匹配这两组SIFT点。由于所提出的方法使用匹配的SIFT点来正确指导目标的位置,因此实验结果表明,通过新方法,已经获得了一些更准确和稳健的跟踪结果。

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