搜索资源列表
motion-tracking-system-
- 本文分析比较了传统运动目标检测的3种主要方法:背景图像差分法、时态差分法和光流法,在此基础上给出了一种背景图像预测算法,大大减少了因为背景变化而产生的目标检测误差。本文基于OpenCV设计出改进的运动目标检测与跟踪算法,实现了运动目标的跟踪,并在VC++编译环境下,利用USB摄像头作为视频采集器,通过观察实验结果可以看出,本文的运动目标检测算法能够正确地检测出视频图像中的运动目标,而且在检测性能上优于普通的自适应背景差分法。 -OpenCV-based motion tracking sys
vcmotiondetect
- 采用自适应背景更新的运动检测算法。有源代码和可运行文件。-Adaptive background updating algorithm for motion detection. Source code and can run the file.
Adative-contour-extraction
- 在图像中提取轮廓（用到了自适应阈值分割算法），根据目标特征，如周长、面积等参数进行筛选，得到目标的轮廓。-Contour extraction in the image (use an adaptive thresholding algorithm), depending on the target characteristics, such as perimeter, area and other parameters of screening, target profile.
BAH1
- 用卡尔曼滤波和自适应窗口的均值偏移算法再结合Bhattacharyya系数粗定位实现视频目标跟踪-Kalman filtering and adaptive window mean shift algorithm combined with coarse positioning Bhattacharyya coefficient for video tracking
LBPShadow
- 【原创】自已写的采用自适应背景差法分割前景图像的程序，中间使用了LBP背景消除方法和区域生长算法，经验证效果相当好。-[original]Segmentation of the foreground image using adaptive background subtraction . In the program, LBP background elimination method and region growing algorithms is used.
FixedCamShift
- 改进后的Camshift算法（连续自适应的MeanShift算法），是将OpenCV中的Camshift背景检测和前景检测以及运动目标跟踪过程经过修改之后的代码。-FixedCamshift algorithm (the continuous adaptive MeanShift algorithm), is the Camshift background OpenCV detection and prospects for detection and moving target trackin
FIRE
- 一种基于自适应阈值的先进火焰颜色算法，根据不同亮度情况选取不同模型，效果非常好。-An algorithm based on advanced adaptive threshold flame color, depending on the brightness select a different model, the effect is very good.
Gauss_Adjust_GPU
- 该算法基于opencv的自适应高斯滤波，并且使用CUDA（GPU）架构进行算法加速-The algorithm is based opencv adaptive Gaussian filter, and use CUDA (GPU) architecture to accelerate the algorithm
7336349
- MT-LSCMA智能天线波束形成盲自适应改进算法 不错的源码(MT - LSCMA blind adaptive beamforming smart antenna algorithm source code)
apd
- 包含了用matlab编写的bp程序和动量-自适应学习调整算法(BP改进算法)程序,,(Contains matlab prepared and momentum bp program - adaptive learning adjustment algorithm (bp algorithm) program,,)
958144
- 智能天线自适应波束形成算法的研究,进行了基本算法的改进与运算(Adaptive beamforming algorithm of smart antenna research, has carried on the basic improvement and operation of the algorithm)
S1IM159.【已完成】基于SVM的烟雾识别系统
- 基于SVM的烟雾识别系统 运动区域提取使用的是 自适应混合高斯背景建模 特征算法使用的是 HOG+LBP 机器学习方法使用的是 scikit的SVM(Smoke recognition system based on SVM The moving region extraction uses adaptive Gaussian mixture background modeling feature algorithm, hog + LBP machine learning method