搜索资源列表
STRUCK.tar
- algoritm of tracking by structure
Meanshift
- 运用meanshift算法进行目标跟踪，用鼠标选取目标后对目标进行跟踪(Target tracking using meanshift algorithm)
学习版压缩感知
- 能够运行的基于压缩感知的目标跟踪程序，使用VS2017和opencv3.3平台C++编写(A target tracking program based on Compressive Sensing)
Vibe(success)
- 该程序能够实现实时的对目标进行跟踪，且运行速度很快(The program can achieve real-time tracking of the target, and the operation speed is very fast)
GuangLiuFa
- 光流法跟踪，可以任意调节特征点的多少，VS2013+opencv c++ 版本，可运行(Optical flow tracking)
基于OpenCv目标跟踪系统的实现
- 在opencv中实现目标跟踪，基于色彩实现指定目标的追踪。(Realization of target tracking in opencv)
cfnet-master
- object tracking,make by oxford university visual lab
ConsoleApplication3
- 用于物体的双目视觉追踪，采用的是一种比较独特的方法(It is a unique method for binocular vision tracking of objects)
96282002Human-Motion-Tracking
- 利用图像的HOG特征训练SVM分类器，对运动人体目标进行跟踪(Using the HOG feature of the image to train the SVM classifier, the program runs through the obtained data.)
目标检测与跟踪源代码
- 目标检测与跟踪，识别图中想要识别的目标，并提取出来(Target detection and tracking, identify the target in the picture, and extract it)
opencv3之目标跟踪（单目标、多目标）
- 对于刚入门的opencv玩家，提起目标跟踪，马上想起的就是camshift，但是camshift跟踪往往达不到我们的跟踪要求，包括稳定性和准确性。 opencv3.1版本发行后，集成了多个跟踪算法，即tracker，大部分都是近年VOT竞赛榜上有名的算法，虽然仍有缺陷存在，但效果还不错。(For incoming opencv players, CAMSHIFT is the key to target tracking, but CAMSHIFT tracking often fails t
face-detection-master
- 人脸跟踪，使用Java语言开发，测试通过。(Face tracking, developed using Java language, test through.)
OpenCV_3_Car_Counting_Cpp-master
- base opencv3 car counting source code
FaceDetectTest
- 使用opencv对人脸进行识别，同时跟踪所识别的人脸，最大识别数为5(Face tracking and recognition by using OpenCV)
ParticleFilter-targettracking
- 使用粒子滤波方法对摄像头中手动选择区域进行跟踪，代码没有优化，跟踪效果一般，可以为初学者使用。(The particle filter method is used to track the manually selected area in the camera, the code is not optimized, the tracking effect is general, and it can be used by beginners.)
camShiftKalmanLBP-VS2010
- 基于VS2010+OPENCV2.4.9，可实现简单跟踪(detection and tracking)
OPENCV资料
- 对特点区域目标跟踪，基于光流法的算法设计的异常行为识别(Target tracking for characteristic regions)