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美国博士论文，关于视频对象分割和用snack算法的跟踪。-American doctoral thesis on the video object segmentation and the use of the tracking algorithm snack.
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运动目标跟踪算法包括：
1. 静态背景下的背景预测法目标检测
2. 静态背景下帧间差分法目标检测
3. Mean Shift目标跟踪方法
4. 重心多目标跟踪方法
,Moving Target Tracking Algorithm include: 1. Quiescent in the context of target detection in the context of prediction 2. Static background frame difference metho
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视频演示算法包括：
1. 静态背景下的背景预测法目标检测
2. 静态背景下帧间差分法目标检测
3. Mean Shift目标跟踪方法
4. 重心多目标跟踪方法
该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。,Video Demo algorithm includes: 1. Static background prediction in the context of target detection 2. The conte
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无需摄像机标定的摄像机运动跟踪算法
Moving Object Detection Video Surveillance and its Applicationinand Monitoring-Without camera calibration of the camera motion tracking algorithm for Moving Object Detection Video Surveillance and its Applicationinand Monitoring
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物体追溯与跟踪算法模型与算法实现。提出通用的追溯和跟踪模型，适合物流以及产品质量追溯中的应用。- Object trace and tracking algorithm model and algorithm implementation.
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A complete methodology for object tracking using a ball example and it also deals in reducing run time by using an optimized colour detection based algorithm
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A Change Information Based Fast Algorithm for Video Object Detection and Tracking.
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KLT 光流法 GPU的实现，需要显卡，大家赶快下吧，保证高质量-This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation
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We present a parallel implementation of a histogram-based particle filter for object tracking on smart
cameras based on SIMD processors. We specifically focus on parallel computation of the particle weights
and parallel construction of the featur
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视频目标跟踪算法，具有抗遮遮挡、抗旋转、目标记忆等功能
-Video object tracking algorithm, with anti-block cover, anti-rotation, the target memory and other functions
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完整的运动物体检测与跟踪算法法。OPENCV实现
-Complete the moving object detection and tracking algorithm method. OPENCV achieve
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Particle tracking is the most important algorithm in object tracking problem!-Particle tracking
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用于基于视频运动目标的跟踪，该算法融合了颜色直方图和梯度方向直方图的特征,能够更加精确地表征目标,较大地提高了视频目标跟踪的准确度和鲁棒性。-For video motion-based target tracking, the algorithm combines the color histogram and gradient direction histogram feature, to more accurately characterize the target, greatly im
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团块视频运动物体跟踪，基础源代码，改进其算法，可在原有算法基础上添加-Clumps video moving object tracking, the underlying source code, to improve the algorithm can be added on the basis of the original algorithm
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计算机视觉中最重要的研究之一就是运动目标检测，其不但在模式识别方面具有相关的研究，而且在图像理解领域也有非凡的意义。运动目标检测是通过通过图像序列帧图像来提取运动目标，通过运用相关的算法一幅图片被划分为前景点和背景点。运动目标检测算法是后续的运动目标分类、运动目标跟踪和分析提供了基础。本论文讲述了几种常用的视频运动目标检测算法，并就背景差分法进行了重点研究，通过两种方法来对比差分法的特点。其中背景差分法算法的主要流程为：视频获取、视频转化为图片序列、图片灰度化处理、去除噪声、差分图片、对图片进行
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物体特征点提取算法以及特征点的跟踪算法,在VS2015上可直接运行。-Object feature point extraction algorithm and feature point tracking algorithm
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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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以常见的监控摄像头的实时视频信号为输入采用基于神经网络的YOLO目标检测算法进行检测与特征提取，最后利用自己的多目标追踪算法实现人流量统计和目标对象保存(Taking the real-time video signal of the surveillance camera as the input, the YOLO target detection algorithm based on the neural network is used to detect and extract the
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This paper presents an online feature selection algorithm
for video object tracking. Using the object and background
pixels from the previous frame as training samples, we model the
feature selection problem as finding a good subset of features to
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显着区域检测是计算机视觉中长期存在的问题。它旨在找到最能吸引人眼睛注意的图像中的像素或区域。准确和可靠的显着性检测可以从视觉追踪和识别到图形图像处理等众多任务中受益。例如，成功的对象检测算法有助于自动图像分割，更可靠的对象检测，有效的图像缩略和重定位(Significant regional detection is a long-term problem in computer vision. It aims to find the pixels or regions of the most
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