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首页> 外文期刊>International Journal on Smart Sensing and Intelligent Systems >RESEARCH ON CAMERA - BASED HUMAN BODY TRACKING USING IMPROVED CAM - SHIFT ALGORITHM
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RESEARCH ON CAMERA - BASED HUMAN BODY TRACKING USING IMPROVED CAM - SHIFT ALGORITHM

机译：改进的CAM-SHIFT算法在基于相机的人体跟踪中的研究。

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Camera-based human body detection and tracking is an important research subject of computer vision, which has a widely used in the field of military and civil. In this paper, we focus on the technology of human body tracking based on improved camshaft algorithm. Firstly, we introduce some common image noise reduction algorithms. By combination the frame difference and background subtraction methods, an improved moving target detection algorithm is proposed, by which the whole region of target can be detected. Then, with the analysis of particle filtering and traditional Cam-shift algorithm, we introduce a new human body tracking method that is able to choose the target automatically due to the detection result. On the basis of the detection and tracking results, the algorithm of motion parameter estimation is analyzed. Finally, a set of human body detection and tracking experiments are designed to demonstrate the effectiveness of the proposed algorithms.
机译：基于照相机的人体检测和跟踪是计算机视觉的重要研究课题，在军事和民用领域已得到广泛应用。在本文中，我们重点研究基于改进的凸轮轴算法的人体跟踪技术。首先，我们介绍一些常见的图像降噪算法。结合帧差和背景减法，提出了一种改进的运动目标检测算法，可以检测整个目标区域。然后，通过对粒子滤波和传统的Cam-shift算法的分析，提出了一种新的人体跟踪方法，该方法能够根据检测结果自动选择目标。在检测和跟踪结果的基础上，分析了运动参数估计算法。最后，设计了一组人体检测和跟踪实验来证明所提出算法的有效性。

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