搜索资源列表
Adaptive-background-mixture-models-
- 在目标检测中有关高斯背景建模方法的实现和国际上先进方法的介绍-Adaptive background mixture models for real-time tracking（高斯背景建模方法）
Gaussian-modeling-approach
- vc++和opencv,运用高斯建模的方法对场景进行背景建模，背景差分。从而检测出运动的物体，如机动车辆、行人，烟火等。-vc++ and opencv, using the method of Gaussian modeling scene background modeling, background difference. To detect moving objects, such as motor vehicles, pedestrians, fireworks, etc.
concodebook
- 码本模型背景建模 很好的检测运动物体 对初学者有帮助-The code model background modeling moving object detection is very good help for beginners
VIS
- 该源码是关于运动对象跟踪的算法，主要实现了高斯背景建模，全局运动补偿（SIFT特征和RANSAC算法），运动对象检测，对象跟踪算法（Mean Shift，Particle Filter等），对象特征提取（轨迹，大小，起止帧等），同时，程序基于VC2008+OpenCV开发，实现了对话框式的程序界面，效率高。-This is a source about motion object tracking, including foreground modeling,object detection,o
VTraffic(thread_no_leak)
- VC6.0+opencv环境下运动检测的实例，使用了帧差法、GMM方法等，可以对比不同建模方法的效果-VC6.0+ opencv environment, motion detection example, using the frame difference method, GMM methods, you can compare the effect of different modeling methods
bkgrd
- 该程序读取视频，利用背景建模，实现运动物体的检测-Read the program video, the use of background modeling, the realization of the detection of moving objects
bkgrd
- 运动检测方法：利用背景建模来检测运动的物体-Motion Detection: Using background modeling to detect moving objects
ROI
- 基于W4算法的背景建模程序，可以实现运动目标的检测-W4 algorithm based on background modeling program that can detect moving objects
Backgroundtiqu
- 基于OPENCV的背景建模，采用高斯建模，对运动目标进行检测-OPENCV based background modeling, Gaussian modeling, target detection in sports
MovingDetect
- matlab的运动目标分割 车辆检测 平均建模背景差分-Moving object segmentation matlab Vehicle Detection average difference modeling background
opencv
- 压缩包包括以下几个功能实现的opencv源代码：canny边缘检测算法实现、高斯背景建模、背景差分法实现边缘检测、图像颜色分布直方图的相关处理、人脸识别算法的实现。-Compressed package includes the following functions to achieve the opencv source code: canny edge detection algorithm, Gaussian background modeling, background subtrac
MoveObjct
- 研究了室内环境下的运动目标的检测技术。讨论了各种目标检测的算法,提出基于室内相对静止背 景下的目标检测算法,利用高斯背景建模方法提取较为理想与“干净”的背景帧,并可进行背景的自适应更 新,然后再利用所得的背景与当前视频帧进行相减,得到视频中运动目标的前景图像,经过平滑去噪处理得 到较为理想的目标检测效果 -Of the indoor environment of moving target detection. Discussed a variety of target dete
P_GMM
- 用于背景差分的高斯混合建模，实现运动目标检测，c++源码可编译执行-Difference of Gaussian mixture for the background model for moving object detection, c++ source code can be compiled implementation
Small-and-weak-target-detection
- 针对基于可见光视频图像处理的水上弱小目标检测中存在的问题， 综述目前该领域的国内外研究进展， 从动态背景建模 前景目标检测和跟踪等方面分析各种方法 算法的优势和不足， 指出目前需要解决的问题， 并展望该领域的研究前景-In view of the problems existing in small and weak target detection on the sea surface based on visible light video image processing，the re
single_bgk
- 单帧背景建模，将第一帧作为背景，从而检测出视频中的目标前景，简单的目标检测算法，需要的朋友可以下载哦-Single frame background modeling, the first frame as the background to detect the target prospects for the video, a simple target detection algorithms, need a friend Oh, you can download
smy
- 基于高斯的背景建模，自己做的效果不错，可以进行检测-Gaussian background modeling based on their own do well, can be detected
mixture_of_gaussians
- 利用高斯背景建模，对运动物体进行动态检测，实现视频中的运动目标的识别-Gaussian background modeling, the dynamic of the moving object detection for video of the moving object recognition
finally
- 实现了车辆目标的背景建模、前景检测、阴影消除、车辆跟踪。-The vehicle to achieve the target of the background modeling, foreground detection, shadow elimination, vehicle tracking.
opencv-example
- OPENCV的例程，使用OPENCV进行图形图像处理和视频处理，包括图像结构，边缘检测，背景建模等模块-the routine use of OPENCV，including graphical image processing and video processing, image structure, edge detection, background modeling module
tackmcuop
- 一个用cmu开发的车辆检测和跟踪的程序，本程序实现了背景建模，运动检测，跟踪，以及车辆和行人标注的功能。-Cmu development of a vehicle with detection and tracking procedures, the procedures to achieve the background modeling, motion detection, tracking, and vehicle and pedestrian marking function.