搜索资源列表
kalman-vedio
- 此方法为kalman视频跟踪，可以实现运动物体的检测及跟踪-This method for the Kalman video tracking, can realize the detection and tracking of moving object
KALMANPI-TRACKING
- 在视频场景中检测到行人的存在，并用红色矩形框对行人进行跟踪-In the presence of a pedestrian is detected in the video scene, and with a red rectangle pedestrian tracking
CVMFC
- OpenCV图像处理的程序，包含图像的平滑滤波高斯变换和视频采集人脸检测目标跟踪等功能，是个较完整的MFC程序-OpenCV image processing procedures, containing an image the smoothing filter Gaussian transform and video capture face detection, target tracking, etc., is a more complete MFC program
c
- 基于视频图像处理技术的运动车辆检测与跟踪算法研究-Moving vehicle detection and tracking algorithm based on video image processing technology
detecting-and-tracking
- 视频序列中二维运动目标的检测与跟踪算法演示-Video sequences dimensional moving target detection and tracking algorithm demo
Motion-Detection-in-Video-
- 在VS2008环境下实现视频序列中，运动目标的检测和跟踪，包括帧差法、背景差分法、MeanShift算法。-In the VS2008 environment for video sequences, moving target detection and tracking, including frame difference method, background subtraction, MeanShift algorithms.
moving-object-detection-and-tracking
- 多摄像机视频监控中运动目标检测与跟踪,提出在多个摄像头下对目标检测与跟踪的算法-Multi-Camera Video Surveillance moving target detection and tracking is presented in multiple cameras under target detection and tracking algorithms
W4-2000
- 对于视频目标检测和跟踪中跟踪算法--W4算法介绍-For video target detection and tracking in the tracking algorithm- W4 algorithm introduced
detection-and-tracking
- 视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法-Algorithm for video presentation include: 1. Static background background prediction target detection 2. Static background frame difference method for
TrackandID1
- 基于opencv环境在视频区域内设置感兴趣区域，在该区域内进行车辆检测以及车辆跟踪。-Based on the opencv environment settings in the video area of the region of interest in the region for vehicle detection, and vehicle tracking.
video-processing-
- 视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 -Algorithm for video presentation include: 1. Static background background prediction target detection 2. Static background frame difference method for target d
RGB_Detection_and_Tracking
- 检测和跟踪视频中的红色物体.并且能够使用检测到的物体的位置在控制光标在屏幕上的位置。-detect and track red, green and blue objects in Live Video
gaijinsuanfa
- 视频跟踪中，对目标的检测时一个很重要的环节。这种基于三帧差分的改进算法对目标检测起到了很好的作用。-Video tracking, the target detection is a very important part. This difference based on three improved algorithm for target detection has played a good role.
Video-Demo
- 视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法-Algorithm for video presentation include: 1 Static background background prediction target detection 2 Static background frame difference method for target de
MFC-OpenCV
- OpenCV视频教程,目标检测与跟踪,车辆特征识别,人脸识别,字符识别,特征提取, 图像分割,手势识别,计算机视觉视频教程,opencv基础知识 -OpenCV is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java interfaces
Target-trace
- 利用Opencv对运动目标（包括汽车，行人）的AVI视频进行检测并跟踪。效果十分显著。 - detect and tracking the moving targets (including cars, pedestrians) AVI video detection and tracking. Effect is very significant.
cx
- camshift算法程序实现视频中运动的目标的跟踪检测
yundong-mubiaojiance-yugenzong-
- 视频中目标检测与跟踪，常用的目标检测方法和跟踪方法-Video target detection and tracking, commonly used method for target detection and tracking method
SSDA-Algorithm-
- 序贯相似性检测算法，可用于图片的匹配，以及视频上的跟踪，效果明显。-Sequential similarity detection algorithm, it can be used in image matching, and the tracking on the video, the effect is obvious.
detectFront
- 基于Opencv的视频序列前景检测模块，可以用来检测自动化目标跟踪的初始位置-Opencv based video sequences foreground detection module,can be used to detect the initial position in automated target tracking