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本文的目的是借助Paul Viola最新提出的实时特征检测的技术，实现一个能够进行快速人脸检测的系统。并且通过训练，得到尽可能优化的分类器构造参数，从而获得具有高检测速度和检测正确率的人脸检测系统。-The purpose of this paper by drawing on the latest proposed by Paul Viola real-time feature detection technology, to realize a fast face detection sys
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一个关于real adaboost的paper，里面也介绍了integral image的理论，这是我研究人脸辨识的参考资料。-A paper about real adaboost , which also introduce the theory of integral image. This is my reference of face detection.
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无线传感器网络是一种全新的信息获取平台，能够实时监测和采集网络分布区域内的各种检测对象的信息，并将这些信息发送到网关节点，以实现复杂的指定范围内目标检测与跟踪，具有快速展开、抗毁性强等特点，有着广阔的应用前景-Wireless sensor networks is a new information access platform, real-time monitoring of distribution and collection networks within the region of
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运动目标的检测跟踪在机器人视觉,监控测量和视频压缩编码等等方面有着广泛的应用，是近年来的一个研究热点。本文设计了一个基于OpenCV软件的运动目标检测跟踪实验平台，对摄像头视野中的运动目标进行实时检测和跟踪，并留下编程和硬件接口，为利用运动目标跟踪而进行机器人视觉和基于计算机视觉的测量监控研究打下基础。-Moving target detection and tracking in robot vision, monitoring measurements and video compressi
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一个基于OpenCV软件的运动目标检测跟踪实验平台，对摄像头视野中的运动目标进行实时检测和跟踪，并留下编程和硬件接口-A software-based moving target detection OpenCV tracking experiment platform, the camera view in real-time moving object detection and tracking, and leave programming and hardware interface
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人脸实时检测今年来最权威的文章，包括haar小波特征和adaboost的详细原理，violaJones著作。-Robust Real-time Object Detection。
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静态背景下的高精度视频目标是实时检测与轮廓提取，matlab源代码实现。
-High-precision static background video object detection and contour extraction in real time, matlab source code.
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基于adaboost的人脸检测，大牛写的，后来写的OPENCV人脸检测都是根据他的这篇论文写的，很有价值-Robust Real-time Object Detection
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real time object tracking using matlab and simulink
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This paperpresent a data-driven, unsupervised method for unusual
scene detection from static webcams. Such time-lapse
data is usually captured with very low or varying framerate.
This precludes the use of tools typically used in
surveillance
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可以载入一段视频或者通过摄像头实时检测运动物体，利用去掉静止背景的方法得到运动的物体，代码已通过验证。-Can load a video camera or through real-time detection of moving objects, the use of get rid of static method of background get moving objects, the code already through the verification.
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具有实时检测、跟踪和分析判断的智能化监控系统是智能化监控系统发展的必然趋势，本文提出一种在实时监控下检测和跟踪运动目标的方法，首先使用背景差分法检测出运动目标，并定期使用背景更新策略对参考背景进行局部更新，这样可以提高目标检测的精确度。目标跟踪时在不同的尺度空间获得目标的关键点，增强算法目标在遮挡情况下的鲁棒性， 接下来使用mean shift 算法估计目标在下一帧的位置。-Intelligent monitoring system with real-time detection, track
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There are two main contributions in this paper. The first is to propose a joint random
field (JRF) model that extends CRF by introducing auxiliary latent variables to
characterize visual scene over time and enhance moving object detection in vide
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Object detection (or rather, recognition) is one of the fundamental problems in computer vision and a lot of techniques have come up to solve it.
This is a Project about Real-time object detection in OpenCV using SURF.
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鲁棒性实时物体检测(adaboost).doc-Robust real-time object detection (adaboost)
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real time object detection and tracking system
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机器学习 关于 faster r-cnn 进行object detection(This is an experimental Tensorflow implementation of Faster RCNN - a convnet for object detection with a region proposal network. For details about R-CNN please refer to the paper Faster R-CNN: Towards Real-Tim
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深度学习 + OpenCV，Python实现实时视频目标检测(We learned how to use deep learning + OpenCV + video stream to perform real-time object detection)
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bonjour je m'appele yass khlass je t'aime jkiolmpn
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动态识别，深度学习和OpenCV的实时对象检测。作者 Adrian Rosebrock(https://www.pyimagesearch.com/2017/09/18/real-time-object-detection-with-deep-learning-and-opencv/)
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