文件名称:MotionDetectionAlgorithms
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Motion Detection Algorithms
There are many approaches for motion detection in a continuous video stream. All of them are based on comparing of the current video fr a me with one from the previous fr a mes or with something that we ll call background. In this article, I ll try to describe some of the most common approaches.
In descr iption of these algorithms I ll use the AForge.NET fr a mework, which is described in some other articles on Code Project: [1], [2]. So, if you are common with it, it will only help.
The demo application supports the following types of video sources:
• AVI files (using Video for Windows, interop library is included)
• updating JPEG from internet cameras
• MJPEG (motion JPEG) streams from different internet cameras
• local capture device (USB cameras or other capture devices, DirectShow interop library is included). -Motion Detection Algorithms
There are many approaches for motion detection in a continuous video stream. All of them are based on comparing of the current video fr a me with one from the previous fr a mes or with something that we ll call background. In this article, I ll try to describe some of the most common approaches.
In descr iption of these algorithms I ll use the AForge.NET fr a mework, which is described in some other articles on Code Project: [1], [2]. So, if you are common with it, it will only help.
The demo application supports the following types of video sources:
• AVI files (using Video for Windows, interop library is included)
• updating JPEG from internet cameras
• MJPEG (motion JPEG) streams from different internet cameras
• local capture device (USB cameras or other capture devices, DirectShow interop library is included).
There are many approaches for motion detection in a continuous video stream. All of them are based on comparing of the current video fr a me with one from the previous fr a mes or with something that we ll call background. In this article, I ll try to describe some of the most common approaches.
In descr iption of these algorithms I ll use the AForge.NET fr a mework, which is described in some other articles on Code Project: [1], [2]. So, if you are common with it, it will only help.
The demo application supports the following types of video sources:
• AVI files (using Video for Windows, interop library is included)
• updating JPEG from internet cameras
• MJPEG (motion JPEG) streams from different internet cameras
• local capture device (USB cameras or other capture devices, DirectShow interop library is included). -Motion Detection Algorithms
There are many approaches for motion detection in a continuous video stream. All of them are based on comparing of the current video fr a me with one from the previous fr a mes or with something that we ll call background. In this article, I ll try to describe some of the most common approaches.
In descr iption of these algorithms I ll use the AForge.NET fr a mework, which is described in some other articles on Code Project: [1], [2]. So, if you are common with it, it will only help.
The demo application supports the following types of video sources:
• AVI files (using Video for Windows, interop library is included)
• updating JPEG from internet cameras
• MJPEG (motion JPEG) streams from different internet cameras
• local capture device (USB cameras or other capture devices, DirectShow interop library is included).
(系统自动生成,下载前可以参看下载内容)
下载文件列表
motion_demo.zip
motion_src.zip
motion_src.zip