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When the mind apprehends the essence of a thing (quod quid est; tò tí en enai), the external object is perceived without the particular notes which attach to it in nature, and it is not yet marked with the attribute of generality which reflection will bestow on it.
当铭记apprehends的本质的东西(狱吏嚼1-5 ;德州仪器恩enai ),外部对象被认为没有特别注意到它重视它的性质(中存在singularibus ),这是没有标明属性一般性的反映将赋予它
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In this paper, the theory, algorithm, and experiment of automatic object detection and tracking are studied in depth. It is firstly pointed out that the essential of Mean Shift method is a special Newton-Gaussian method. A new method named Fast Mean Shift is established to stretch the conservative step of Mean Shift method. The convergence and validity of this new method are proved in theory. And it is also proved that the convergence speed of Fast Mean Shift is faster than that of Mean Shift. The contrast experiments of searching the maximum possibility density of random of data sets in plane and 3D space are done. The results show that this new method can reduce the iterations greatly. A new object tracking method based on Fast Mean Shift is built to improve the object tracking performance, which is shown in the face tracking experiment with the tennis sequence provided by the Ohio State University, and the car tracking experiment with the car sequence provided by Kalsruhe University. The face trcking experiment with highly noised images show that the object tracking method based on Fast Mean Shift has strong anti-jamming ability. A new fast color object detection technology based on characteristic color is established, which use characteristic color distribution to compute the characteristic color vector of any area in an image quickly. With the high performance search method, the fast object detection is achieved. At last, using object tracker based on Fast Mean Shift and color object detector based on characteristic color with the Kalman filter, PID controller, searial communication and other technologies, automatic object detection and tracking system with control system is built. The availability and anti-jamming ability of this system are verified by some object detection and tracking tests in different scenes.
本文对目标自动识别与跟踪进行了理论、计算、试验三方面的深入研究,主要包括:首次指出了目标跟踪技术中常用的均值迁移方法的本质为一种特殊的高斯-牛顿方法,改进了均值迁移方法步长取值保守的弱点,建立了快速均值迁移方法,证明了该方法的收敛性、有效性以及收敛速度优于均值迁移方法;进行了平面和3维随机分布数据集的最大概率密度搜索对比试验,试验结果表明,快速均值迁移方法大大减少了迭代次数;建立了基于快速均值迁移的目标跟踪方法,利用俄亥俄州立大学提供的乒乓球序列图像和卡斯鲁厄大学的汽车序列图像,对人脸和汽车目标跟踪性能分别进行了对比试验,并进行了高噪声人脸图像目标跟踪试验,结果表明,基于快速均值迁移的目标跟踪方法有效提高了目标跟踪性能,具有很强的抗干扰能力;建立了一种新型彩色目标自动识别方法,采用特征色彩分布函数实现了对任意图像区域特征色彩矢量的快速计算,建立了高效的搜索方法,实现了彩色目标的快速识别;将基于快速均值迁移方法的目标跟踪方法、基于特征色彩的目标识别方法与卡尔曼滤波、PID控制、串行通讯等技术结合,建立了带有控制系统的快速目标自动识别与跟踪系统,并在不同场景下进行了目标自动识别与跟踪试验,验证了快速目标自动识别与跟踪系统的有效性和抗干扰能力。
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The billions shift from side to side:数以万计的人们流离失所
My hands are tied 我的双手被束缚. | The billions shift from side to side 数以万计的人们流离失所. | And the wars go on with brainwashed pride 战争继续洗礼荣誉. (这句他译的不好!我也译不出来!
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The billions shift from side to side:面對著生活周遭千千萬萬的謊言
My hands are tied我無能為力了 | The billions shift from side to side面對著生活周遭千千萬萬的謊言 | And the wars go on with brainwashed pride戰爭不斷的洗著一個人的價值觀
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The billions shift from side to side:几十亿人陷入极端
My hands are tied我的双手受到束缚 | The billions shift from side to side几十亿人陷入极端 | And the wars go on with brainwashed pride战争伴随傲慢自大产生
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The billions shift from side to side:成千上万的人流离失所
My hands are tied 我的双手被束缚 | The billions shift from side to side 成千上万的人流离失所 | And the wars go on with brainwashed pride 战争却一直在继续,为了那些虚伪的光荣
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shift from extensive economy to intensive:从粗放经济转变为集约经济
> Spring and Autumn Annals | 从粗放经济转变为集约经济 shift from extensive economy to intensive | 打白条 issue IOU
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