Description: 使用OpenCV 来寻找轮廓实现视频流的运动目标检测 能检测一段视频或网络摄像头实时读入视频中的运动物体-Achieved using OpenCV to find the outline of the video stream to detect a moving target detection webcam real-time video or read the moving objects in video Platform: |
Size: 3072 |
Author: |
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Description: OPENCV下编写的数字取证平台,算法很多很全,请参照论文"An Evaluation of Popular Copy-Move Forgery Detection Approaches" Vincent Christlein, Christian Riess, Johannes Jordan, Corinna Riess, Elli Angelopoulou. In: IEEE Transactions on Information Forensics and Security (TIFS) 2012-This software package contains the core components (code, some scripts) for the paper "An Evaluation of Popular Copy-Move Forgery Detection Approaches" by V. Christlein, C. Riess, J. Jordan, C. Riess and E. Angelopoulou. Platform: |
Size: 208896 |
Author:陈晨 |
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Description: An Implementation on Object Move Detection Using OpenCV-An Implementation on Object Move Detection Using OpenCV
Platform: |
Size: 802816 |
Author:mazharul |
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Description: Vehicle detection, its an opensource code and works well with opencv and boost, === === === === === === === ====
= multi-target tracking method by Wongun Choi
=== === === === === === === ====
Compile
* Require opencv and boost library to be installed
- sudo apt-get install libboost-dev or see http://www.boost.org/
- refer to http://opencv.willowgarage.com/wiki/InstallGuide
1. move into the standalone_tracker directory : cd standalone_tracker
2. cmake .
3. make
Run
1. How to run
1) Download/prepare a video to be processed : e.g. wget http://www.vision.ee.ethz.ch/~aess/cvpr2008/seq02-img-left.tar.gz
2) unzip the images.
3) generate imagelist file using following command : ls seq02-img-left/*.jpg > seq02_imlist.txt
4) run detector to get detection bboxes and confidence map
5) generate conflist file : ls seq02-img-left/*.conf > seq02_conflist.txt
6) try tracking with track.sh
-Vehicle detection, its an opensource code and works well with opencv and boost, ==============================================
= multi-target tracking method by Wongun Choi
==============================================
Compile
* Require opencv and boost library to be installed
- sudo apt-get install libboost-dev or see http://www.boost.org/
- refer to http://opencv.willowgarage.com/wiki/InstallGuide
1. move into the standalone_tracker directory : cd standalone_tracker
2. cmake .
3. make
Run
1. How to run
1) Download/prepare a video to be processed : e.g. wget http://www.vision.ee.ethz.ch/~aess/cvpr2008/seq02-img-left.tar.gz
2) unzip the images.
3) generate imagelist file using following command : ls seq02-img-left/*.jpg > seq02_imlist.txt
4) run detector to get detection bboxes and confidence map
5) generate conflist file : ls seq02-img-left/*.conf > seq02_conflist.txt
6) try tracking with track.sh
Platform: |
Size: 15360 |
Author:Khushwant |
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Description: 本程序开发环境:vc和opencv
整体功能:是为了实现车载视频中车牌自动跟踪,检测,,定位,识别,视频中物体的跟踪必须是手动圈住才行,摄像头使用的是usb摄像头. 打开摄像头,可以看到视频中画面,移动鼠标圈住物体,可以自动跟踪。-This program development environment: VC and opencv
The overall function: in order to realize the video vehicle license plate automatic tracking, detection, identification, location, tracking, the video object must be manually around it, the camera is using USB camera. Open the camera, you can see the video screen, move the mouse around the body, can automatically track. Platform: |
Size: 2113536 |
Author:李闯 |
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