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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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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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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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