搜索资源列表
Object-Track
- Android-OpenCV Object-Tracking
Tracking_red-object
- OBJECT TRACKING OPENCV PROCESSING
main (2)
- 物体运动检测，功能简洁，代码简单，快速实现了此功能。VS2015 OPENCV2.9 WIN10(Object movement detection, the function is succinct, the code is simple, has realized this function rapidly.)
ObjectTrackingMovementCamera
- Moving object tracking from movement camera. Visual C++ with OpenCv image processing library
optical flow tracker
- 光流法实现移动目标是追踪，检测物体位移，判断运动方向(Optical flow method to achieve the target is to track, detect object displacement, to determine the direction of movement)
zhenchafa
- 使用帧差法对视频中的目标进行跟踪，并画出矩形框与坐标。依靠opencv库，使用时需修改视频路径。(he frame difference method is used to track the object in the video, and the rectangle frame and coordinate are drawn. Depending on the opencv library, you need to modify the video path when using it.)
KinectCoordination
- 利用了微软的Kinect v2 开发了基于深度图像的人体目标的检测跟踪与定位，结合了VS2013，Qt以及opencv视觉库，设计了该系统的GUI界面(Using Microsoft's Kinect V2, we have developed the detection, tracking and positioning of human targets based on depth images. Combining the VS2013, Qt and opencv visual libr
ts2
- 测试特定颜色的物体 ，通过 hsv转rgb，然后选取红色(Test a specific color object, pass HSV to RGB, and then select red)
handDetectionCV-master
- Hand Detection Using Color Recognition Object Tracking and Gesture Recognition
opncv
- 动态目标追踪和前景背景提取，使用Python和opencv编程(Dynamic object tracking and foreground background extraction, using Python and opencv programming)
real_time_object_detection
- 深度学习 + OpenCV，Python实现实时视频目标检测(We learned how to use deep learning + OpenCV + video stream to perform real-time object detection)
motioncolor_detect
- 本代码为py-opencv 程序，实现运动物体检测，通过serial与下位机通讯，可移植于windows，linux，以及树莓派，nanopi等平台或设备上，(This code is py-opencv program, to achieve moving object detection, through the serial and the slave computer communication, can be transplanted to windows, Linux, and ra
3DSCAN
- 利用结构光对物体进行扫描，得到物体的点云数据(The object is scanned by structured light, and the point cloud data of the object is obtained)
opencvmultitracking
- vc2013,opencv3.0 通过不同颜色进行多目标识别(vc2013,opencv3.0 multi object tracking)
代码 特征点匹配目标提取
- 利用OpenCV以及vc++实现对物体特征点匹配目标的提取，(Using OpenCV and vc++ to achieve object feature point matching target extraction,)
canny_detect
- 用PYthon实现Canny算法，对影像进行边缘提取(This code can get object edge through canny algorithm. It is written in Python language.)
Edge detection
- 目标检测首先利用统计的方法得到背景模型，并实时地对背景模型进行更新以适应光线变化和场景本身的变化，用形态学方法和检测连通域面积进行后处理，消除噪声和背景扰动带来的影响，在HSV色度空间下检测阴影，得到准确的运动目标。(object detectWe use statistical methods to obtain the background model, and real-time of the background model is updated to adapt to illumina
objectmarker
- ObjectMarker is a tool which lets you easily create an info file from your collection of images that contains your object you want to train.
harris检测
- 使用harris角点检测算法，对象进行检测，效果优秀速度快(Using the Harris corner detection algorithm, the object is detected, the effect is excellent and fast.)
SURF
- OpenCV provides SURF functionalities just like SIFT. You initiate a SURF object with some optional conditions like 64/128-dim descr iptors, Upright/Normal SURF etc. All the details are well explained in docs.