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用opencv实现camshift算法 并且使用了 kalman算法来预测物体可能的运动轨迹 跟踪效果 一般-Achieved with opencv kalman camshift algorithm and uses algorithms to predict the trajectory of the object tracking results may be general
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卡内基梅隆大学的一个博士写的一个视频目标跟踪平台，包含几乎所有的目标跟踪算法，有开源的代码和相应的论文，还可以加入自己改进的算法，有很好的参考价值。-Carnegie Mellon University, a Ph.D. to write a video tracking platform, contains almost all of the target tracking algorithm, there are open source code and the corresponding
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采用在线学习跟踪方式，对物体进行跟踪，代码用c++编写，库用的Opencv库，程序中包括了3个.h，3个.cpp，一个.main程序。-We have added two new state-of-the-art object tracking algorithms to OpenCV which can robustly track images patches across a video sequence and learn online (i.e., on-the-fly) as the
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Camshift人脸跟踪改进 结合人脸约束和ABCshift算法-Improved Camshift face tracking combining algorithms face constraints and ABCshift
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结合kalman滤波的meanshift跟踪算法，meanshift算法是一种经典的均值漂移跟踪算法，采用颜色直方图作为跟踪特征，具有很高的稳定性和鲁棒性，kalman滤波是一种线性滤波预测算法。在meanshift算法中引入kalman滤波，可以提高算法的稳定性，同时提高算法执行效率。代码中除了avi格式视频读取采用opencv库函数外，核心算法均为纯C++实现，注释详细，很容易理解，同时具有很高的参考价值。 -Meanshift kalman filtering combined track
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一个很好的基于OPencv的团块目标跟踪的代码，供视频目标跟踪研究人员参考，对于算法的初步理解及实验平台的搭建有很好的参考作用。-A good OPencv clumps target tracking code based researcher for Video target tracking reference for a preliminary understanding to build algorithms and experimental platforms have a good
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基于haar检测算法和camshift算法的运动物体跟踪的程序，可根据xml提供haar特征进行特定物体的跟踪检测-Haar detection algorithm based on algorithms and camshift moving object tracking program that provides haar features of a particular object tracking and detection based on xml
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图像的处理，opencv做出了很大贡献，因此现在很多图像处理都在使用-The detection and tracking technologies have been extensively applied in many domains.
Since its performance is difficult to secure due to environmental disturbance, it is essential to improve
algorithms of dete
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目标跟踪算法：基于粒子滤波的目标跟踪源代码-Target tracking algorithms: Particle Filter Based Target Tracking source code
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提出的压缩跟踪算法能够实时运行，并执行挑战序列，在效率方面,准确性和鲁棒性方面能与最先进的算法抗衡-The proposed compressive tracking algorithm runs in real-time and performs favorably against state-of-the-art algorithms on challenging sequences in terms of efficiency, accuracy and robustness.
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对于刚入门的opencv玩家，提起目标跟踪，马上想起的就是camshift，但是camshift跟踪往往达不到我们的跟踪要求，包括稳定性和准确性。
opencv3.1版本发行后，集成了多个跟踪算法，即tracker，大部分都是近年VOT竞赛榜上有名的算法，虽然仍有缺陷存在，但效果还不错。(For incoming opencv players, CAMSHIFT is the key to target tracking, but CAMSHIFT tracking often fails t
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