搜索资源列表
qcp
- 用于空间目标跟踪和识别，考虑了有噪声的情况，并包括了画图的程序(Tracking and recognition of spatial targets)
python-sdk
- 在线人脸识别 提出一种基于树莓派的人脸识别门禁系统，该系统通过使用人脸识别云服务可以实时对人员进行辨认。文中详细描述了该系统的搭建和实现过程，为相关产品提供了一套很好的解决方案。对所设计的系统进行了模拟测试，其测试结果达到了设计目标。(online face recognition face++)
新建文件夹
- 目标追踪的相关文献，仔细阅读对模式识别有用！(some papers for tracking objects ,it s useful for pattern recognition!)
Time domain difference algorithm
- 时域差分算法，基于序列图像，快速识别运动小目标(Time domain difference algorithm, based on sequence images, fast recognition of small moving targets)
lubiaoshibie
- 路标识别，模式识别大作业，主程序；检测彩色路标，直方图均衡化，提取圆形路标，增强提取目标，二值化,提取路标中的指示图，中值滤波，平滑滤波，图像边框处理，链码生成及识别(Road sign recognition, pattern recognition, big operation, main program, detection of color roadmap, histogram equalization, extraction of circular road signs, enhanc
circle_hough
- 路标识别，模式识别大作业，圆形检测；检测彩色路标，直方图均衡化，提取圆形路标，增强提取目标，二值化,提取路标中的指示图，中值滤波，平滑滤波，图像边框处理，链码生成及识别(The road sign recognition, pattern recognition operations, circle detection; detection of color signs, histogram equalization, extracting circular signs, enhanced ex
Digital image processing
- 详细介绍了数字图像的基本特征，包括直方图、特征提取、目标识别、图像分割与复原、形态学图像处理等相关知识(Describes in detail the basic features of digital images, including histogram, feature extraction, target recognition, image segmentation and restoration, morphological image processing and other re
tolr70
- 提出了一种由粗集理论和D-S证据理论结合的多传感器数据融合方法,并将其应用于目标识别中()
ga (6)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based
gmm(2)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast Hough circle trans
test
- 使用该程序可以顺利对视频进行处理，将视频转换成图片，以及将图片转换成视频。(The program can smoothly process video, transform video into pictures, and convert pictures into video.)
darkflow-master
- darkflow 目标识别 目标跟踪 实时处理 精度高(very good which has a so good precision)
DeepLabV3-Tensorflow-master
- Deeplabv3 实现语义分割，可以实现标准库21个分类目标识别(Deeplabv3 segmentation)
OpenCV3__SVM__HOG
- 目标识别，有着详细说明的代码，可以仔细阅读一下，OpenCV3，C++(Pedestrian recognition)
图像与视频处理
- 提取物体的特征，效果特别好！利于以后的目标识别与跟踪(Extraction of the characteristics of the object, the effect is particularly good!)
fontainer
- 提出了一种雷达目标识别识别方法,实验仿真表明识别效果良好！()
MFSKExample
- 防撞雷达波形为MFSK调制，可以实现多目标识别(Multi target recognition of MFSK modulation)
yolo_tensorflow
- 基于YOLO的目标检测, 对十种物体进行识别和定位。(object detection based on YOLO, perform recognition and location to ten types of objects.)
深度学习源码
- 其中包括RCNN，主要用于做目标检测和目标识别，程序对计算机硬件要求比较高，建议利用TItan跑
two_target_interference
- 距离角度联合无模糊估计的两目标识别功能的MATLAB仿真(MATLAB simulation of two-target recognition function without ambiguity estimation for joint range and angle)