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提出了智能视频监控中基于机器学习的自动人数统计系统。。该系统通过机器学习的方法对视频序列中人的头肩部位进行准确地检测。克服了传统检测方法如连通域分析和简单模板匹配的不足。-Automatic people counting system based on machine learning in intelligent video surveillance. . The system through machine learning methods to accurately detect the
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多照相机视频监控领域的最新综述，具有理论和实际工程的指导意义-The newest survey on the multi-camera video surveillance area, which is theoretic and real guiding significance.
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在视频监控领域，人脸检测是一个重要的方向，本代码就是针对人脸检测和跟踪的-In the field of video surveillance, face detection is an important direction, this code is for face detection and tracking
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行人重定位算法，识别效果非常好，有源码和文章-Person re-identification is an important technique towards
automatic search of a person’s presence in a surveillance
video. Two fundamental problems are critical for
person re-identification, feature representation and me
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实现了图像的灰度化并进一步用于视频监视控，BP神经网络用于函数拟合与模式识别，用于建立主成分分析模型。- Achieve a grayscale image and further control for video surveillance, BP neural network function fitting and pattern recognition, Principal component analysis model for establishing.
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实现了图像的灰度化并进一步用于视频监视控，最大似然（ML）准则和最大后验概率（MAP）准则，用平面波展开法计算二维声子晶体带隙。- Achieve a grayscale image and further control for video surveillance, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Computation Method D phononic bandgap p
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实现了图像的灰度化并进一步用于视频监视控，用MATLAB实现的压缩传感，非常适合计算机视觉方面的研究使用。- Achieve a grayscale image and further control for video surveillance, Using MATLAB compressed sensing, Very suitable for the study using computer vision.
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快速扩展随机生成树算法，多目标跟踪的粒子滤波器，实现了图像的灰度化并进一步用于视频监视控。- Rapid expansion of random spanning tree algorithm, Multi-target tracking particle filter, Achieve a grayscale image and further control for video surveillance.
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