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人体运动视觉分析主要包括运动目标检测、 运动 目标分类 、 人体运动跟踪、 人体行为识别与描述四个环
节 ， 在多领域具有广阔的应用前景． 本文从上述四个方面综述了人体运动分析的研究现状， 对人体运动分析的热点
难点进行讨论 ， 对可能的发展方向进行阐述和展望．-Visual analysis includes moving object detection,moving object classfication,human tracking and activity recogni
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本书从机器学习的角度介绍了基于视觉的运动分析领域的最新算法和系统。-Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visua
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The demand for robust face recognition in real-world
surveillance cameras i ncreasing due to the needs of practical applications
such as security and surveillance. Although face recognition
has been studied extensively in the literature, achiev
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视频监控中运动目标检测、跟踪与行为识别算法的研究(Research on moving object detection, tracking and behavior recognition algorithm in video surveillance)
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High-resolution array signal processing estimates, Space target recognition algorithm using PM, Achieve a grayscale image and further control for video surveillance.
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Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, Achieve a grayscale image and further control for video surveillance, Raya Punuo Fu index using the formula.
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Achieve a grayscale image and further control for video surveillance, Dual-line interpolation FFT harmonic analysis kaiser windows, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition.
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The final weight matrix is ??the filter coefficient, Achieve a grayscale image and further control for video surveillance, Face Recognition light treatment method.
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Achieve a grayscale image and further control for video surveillance, Based on wavelet transform digital watermarking algorithm matlab code, Face Recognition light treatment method.
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