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Improved Video Moving Target Tracking Based on Camshift

机译:基于Camshift的改进的视频运动目标跟踪

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Focusing on the failure under the condition of target blocking, the similarity between target color and background color for the Camshift algorithm, an improved algorithm based on Camshift algorithm is proposed. Gaussian mixture model is used to determine the tracking area fast and accurately because it is not sensitive to the external conditions such as light and shadow. Kalman predictor is used to predict the blocked target effectively. The video is processed in the MATLAB environment. The moving target can be tracked and its position can be predicted accurately with the proposed improved algorithm. The results verify the feasibility and effectiveness of the algorithm.
机译:针对Camshift算法在目标阻塞条件下的故障,目标颜色与背景色之间的相似性,提出了一种基于Camshift算法的改进算法。高斯混合模型用于快速准确地确定跟踪区域,因为它对诸如光和阴影之类的外部条件不敏感。卡尔曼预测器用于有效地预测被阻止的目标。视频在MATLAB环境中处理。利用所提出的改进算法,可以跟踪运动目标并准确预测其位置。结果证明了该算法的可行性和有效性。

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