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多摄像机视频监控中运动目标检测与跟踪,提出在多个摄像头下对目标检测与跟踪的算法-Multi-Camera Video Surveillance moving target detection and tracking is presented in multiple cameras under target detection and tracking algorithms
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静态背景中，移动物体的跟踪,并标注图象中的坐标。-Static context, the moving object tracking, and marked in the image coordinates.
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基于vs2010+opencv2.4.4调试通过的kalman_camshift跟踪运动物体，测试视频比较简单。-Based on vs2010+ opencv2.4.4 through debugging kalman_camshift tracking moving objects, test video is relatively simple.
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是opencv的c++常用的所有的程序，包括人脸识别，运动物体跟踪，颜色识别，图形图像设计，摄像头定标等。-Is opencv c++ commonly used all programs, including face recognition, moving object tracking, color recognition, image design, camera calibration, etc.
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研究了目前运动对象检测与跟踪的一些常用方法,包括时域差分法、背景差分法、基于光流场的检测方法和卡尔曼滤波、特征光流法的跟踪方法,并对各种方法进行了比较,指出其优缺点及适用范围,并给出了时域差分及背景差分方法的实验结果-Currently some of the commonly used methods to study the detection and tracking of moving objects, including difference time domain method, b
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在MFC下创建运动检测系统，对一系列运动物体跟踪。-Create a motion detection system in the MFC, a series of moving object tracking.
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moving object tracking on fpga
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基于haar检测算法和camshift算法的运动物体跟踪的程序，可根据xml提供haar特征进行特定物体的跟踪检测-Haar detection algorithm based on algorithms and camshift moving object tracking program that provides haar features of a particular object tracking and detection based on xml
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使用特征点来代表图像的内容，运动目标跟踪，物体识别，图像配准，全景图像拼接，三维重建-The use of feature points to represent the content of the image, moving object tracking, object recognition, image registration, image mosaics, 3D reconstruction
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基于dm642的运动检测源码，可实现对运动物体的识别跟踪-Motion detection based on dm642 source code, can realize the recognition of moving object tracking
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运用光流法的来对运动物体进行跟踪，输出特征点的位置和变化情况。-Using the optical flow method for moving object tracking, and output the position of the feature points and changes.
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OpenCV的模式识别，图像处理，与运动物体跟踪编程-
OpenCV pattern recognition, image processing, and moving object tracking program
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基于扩展卡尔曼滤波的运动物体跟踪，步骤详细，值得一看-Moving object tracking based on extended kalman filter, and steps in detail, it s worth a look
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本文首先分析了目标跟踪中常用的基于匹配的跟踪算法，然后从其判定函数
以及模板更新两方面出发来提高跟踪的稳定性；通过改进匹配搜索策略提高算法
实时性-In this paper analysis the algorithm which based on traditional correlation,
then consider the satiable of tracking correlation and template update. We
prove the s
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Tracking a moving object through several frames, provided changes frame to frame are on the ord-Tracking a moving object through several frames, provided changes frame to frame are on the ord
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运动目标跟踪，本程序是基于视频的运动目标跟踪，能够有效的画出运动轨迹-Moving target tracking, this procedure is based on the video moving object tracking, to draw the trajectory effectively
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移动物体的跟踪检测，对视频中的移动自行车进行跟踪。(Tracking the moving object, tracking the moving bike in the video.)
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通过输入一个视频，实现视频中的运动目标跟踪，视频路径可改。(Moving object tracking)
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利用Kalman滤波对运动目标跟踪的基本示例(A basic example of moving object tracking using Kalman filtering)
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本代码为基于arduino平台的图像识别检测跟踪系统的下位机程序，实现简易舵机云台对运动物体的图像追踪，可移植于机器人、飞行器等系统中运用(This code is based on the Arduino platform of image recognition detection and tracking system of the lower computer program, to achieve a simple steering gear head moving object tr
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