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演示6
- 车型识别的程序,主要演示了视频图像处理的基本方法。通过directshow读取视频,抽取每一帧,通过前景背景差分提取运动信息-model identification procedures, the main demonstration of video image processing methods. Directshow reader through video, taken each frame, differential extraction prospects background
MotionAnalysisPlatform
- 一个视频运动分析的系统平台,可以做简单的二帧、三帧帧间差分处理和背景减除操作。-a video motion analysis system platform can do simple two, three frames differential treatment and background subtraction operation.
backgroundtest
- 一个是通过采用帧间差分法从多帧连续图像提取背景 另一个是通过背景提取运动物体-is through the use of an inter-frame difference from consecutive multi-frame images from the background through another campaign objects from the background
HaarFaceDetect
- 视频监控系统完整源码(本人本科毕业设计),运用帧间差分算法,运用高斯混合模型来实现背景的实时更新,以减少由于环境的变化对检测结果的干扰。-Video Surveillance System integrity of the source code (I graduated from undergraduate design), use interframe difference algorithm, Gaussian mixture model used to achieve the real-
BJchafen
- 基于背景差分法的运动目标检测,可以有效解决帧差法的空洞、细小连接等问题-Based moving target detection background subtraction method can effectively solve the empty frame difference, the small connection problems
carTraffic
- 本程序主要关于使用背景帧差法实现对来往的车辆进行识别检测与跟踪,且涉及到一些简单的形态学算法处理。-This program is mainly about using the implementation background frames differential method to identify the traffic detection and tracking, and involves some simple morphological algorithm processing.
main
- opencv帧差法求运动物体,在视频中过滤掉背景提取运动物体并二值化-opencv frame difference method the moving object, moving object extraction filtering out the background in the video and the binarized
Background-difference-method
- 背景差分法是采用图像序列中的当前帧和背景参考模型比较来检测运动物体的一种方法,其性能依赖于所使用的背景建模技术。背景差分法检测运动目标速度快,检测准确,易于实现,其关键是背景图像的获取。在实际应用中,静止背景是不易直接获得的,同时,由于背景图像的动态变化,需要通过视频序列的帧间信息来估计和恢复背景,即背景重建,所以要选择性的更新背景。-Background difference method is the use of images in the sequence of the current
Target-Detection
- 三帧差法检测运动目标位置(背景需要静止效果最好)-Three-difference frame method to detect moving target position (background still needs best)
Frame_diff1
- 基于opencv的帧差法背景建模源代码,阈值设置为20-Opencv based background modeling frame difference method source code
r
- 交通视频采集后的图像预处理。由于硬件及环境等因素的影响,摄像头提取的图像不可避免地包含噪声,图像的质量会受到不同程度的失真。因此,我们要对采集到的视频序列进行图像的预处理。 车辆检测算法。概括性的分析了基于图像处理的几种常用的车辆检测算法:帧差法、光流法,总结了各种方法的优缺点,并采用背景差法对车流量进行检测。该算法自适应能力强,计算量小,可正确判断有无车辆、完成车辆计数,实现车流量计算,为交通监管系统提供实时有效的交通参数。 车辆计数。分析常用的车辆计数方法:虚拟线圈法和目标跟踪法。并
Foreground-detection-procedures
- 前景检测程序,MATLAB实现,有背景差分,帧差法,混合高斯模型,光流法。-Foreground detection procedures, MATLAB, background difference, frame difference method, the gaussian mixture model and optical flow method.
zhenchatrack
- Frame difference method track,帧差法多视频目标进行跟踪,适应应静态的背景,跟踪效果较好-Frame difference method
dat-v1.0
- 运动目标检测和跟踪,通过背景减法和帧差法检测运动目标,测试结果还可以,代码仍需调试-object detection
ViBe
- 一种新的背景检测的算法,效果要比光流和帧差都好很多(A new algorithm for background detection is much better than light and frame)
backgroundsubtraction-master
- 通过对每帧的图像与背景模型进行对比,进而提取前景目标(By comparing the image of each frame with the background model, the foreground target is extracted)
MATLAB
- 帧间差MATLAB提取静态背景的前景信息(Frame difference MATLAB extracts foreground information from static background)
avergBg_subtraction
- 采用平均背景法读取视频每一帧,计算出背景后存为之后差分对,仿真matlab版本2014a其他的没有测试,但是视频读取务必选用黑白视频。(Using the average background method to read video each frame, calculate the background, save as after difference, simulation matlab version of 2014a, the other did not test, but vide
帧差法检测运动物体取背景
- 视频中运动物体的跟踪,打开视频读取视频,然后进行跟踪(weinerNo matter how familiar we used to be with each other,as long as we are apart then we become strangers)
Debug
- opencv实现视频处理运动目标检测,使用帧差法,但是易受背景噪声影响(Opencv implements video processing moving target detection, using frame difference method, but it is easily affected by background noise.)