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运动物体的跟踪，在单一背景下可以跟踪球运动的轨迹。-tracking moving objects, in a single context can track the path of the ball movement.
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该系统是为了实现对一系列图片中运动物体的跟踪而设计的，它通过对一系列图片的处理，提取出图片背景，识别出运动物体，进而对运动物体进行跟踪，得到物体运动的轨迹-the system is to achieve a series of pictures tracking moving objects designed, it adopted a series of pictures, photographs extracted background to identify moving objects
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利用 AVICap 类，根据运动目标的特征对输入视频序列中的运动物体进行跟踪-use AVICap category, according to the characteristics of moving targets on the importation of video sequences of tracking moving objects
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opencv视频处理，运动物体跟踪，运动轨迹的提取-opencv video processing, tracking of moving objects, trajectory extraction
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Development of a Robot-camera system VICON
for automatic recognition and tracking of moving objects.
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CamShift算法，即"Continuously Apative Mean-Shift"算法，是一种运动跟踪算法。它主要通过视频图像中运动物体的颜色信息来达到跟踪的目的。我把这个算法分解成三个部分，便于理解：
1) Back Projection计算
2) Mean Shift算法
3) CamShift算法-CamShift algorithm, that is, " Continuously Apative Mean-Shift" algorithm, is
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对任何运功的物体进行实时的检测和跟踪，并能标记运动目标的轮廓。-Exercise our powers to object to any real-time detection and tracking, and to mark the outline of moving objects.
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针对在复杂背景中检测出多批特定运动目标并实施分配批号实行标记跟踪，本文利用OpenCV的运动物体跟踪的数据结构、函数以及基本框架，建立了一个由人机交互界面模块；运动物体的前景检测模块；运动物体的团块特征检测模块；运动物体的团块跟踪模块轨迹生成模块；轨迹后处理模块组成的视频图像运动目标分析系统。-Aim at detecting，tracking and marking multipule specific targets in complex
background．We use the ba
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实现对视频一帧帧播放，并实现背景相减，帧间相差法等，并实现运动目标的跟踪。-To achieve a frame of video playback, and to achieve background subtraction, inter-frame difference method, etc., and tracking moving objects.
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运动物体跟踪，自动跟踪物体，此代码一种基于OOPENCV库，需要与OPENCV库的链接能使用
-Moving object tracking, automatic tracking of objects, can use this code based on OOPENCV library needs OPENCV link library
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进行多运动物体跟踪，可以识别多个物体并进行跟踪-Multi-moving objects tracking, multiple objects can be identified and tracked
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使用卡尔曼滤波器设计的运动物体跟踪。适用于背景也是动态变化的物体跟踪-Tracking moving objects using a Kalman filter design. Applies to the background also dynamic object tracking
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opencv 图像跟踪 用质心跟踪运动物体 并可手动标记运动物体-opencv C++ Tracking moving objects with a mass center moving objects can be manually tagged
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c++编写的对于运动物体的检查与跟踪程序，可实现图像学中的腐蚀膨胀等算法-c++ written program for checking and tracking of moving objects, image-based principles
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简单实现运动目标跟踪，开发环境，mfc+opencv1.0,可实现运动目标的轮廓标记-Simple tracking moving objects, development environment, mfc+ opencv1.0, to mark the outline of moving objects
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视频中运动物体的跟踪，可用vs2010+opencv1.0运行。（注意opencv在vs中的配置，注意配清楚，才可正常运行代码）-Tracking moving objects in video, available vs2010+ opencv1.0 run. (Note that in vs opencv configuration, with attention to clear, before running the code)
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LK光流，快速检测视频中的运动物体，并实现追踪预测-LK optical flow, fast detection of moving objects in the video, and realize the tracking prediction
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使用APP“迹”加手机摄像头实现对具有指定颜色物体的智能跟随，跟随物可以根据目标的移动速度变化改变自身的速度。(We use APP trace and cell phone camera to achieve intelligent tracking of objects with specified colors. Following objects can change their speed according to the moving speed of target.)
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In this paper, we present an approach toward pedestrian detection and tracking from infrared imagery using joint shape and appearance
cues. A layered representation is first introduced and a generalized expectation-maximization (EM) algorithm is dev
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基于帧间差分法的视频目标检测系统
运动目标自动检测是对运动目标进行检测、提取、识别和跟踪技术，在许多领域都有重要应用。使用帧间差分法设计并实现视频目标的检测系统(Video Target Detection System Based on Interframe Difference Method Moving object automatic detection is a technology of detecting, extracting, recognizing a
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