Open Source Computer Vision Library https://opencv.org/
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

29 lines
844 B

Video analysis (video module) {#tutorial_table_of_content_video}
=============================
Look here in order to find use on your video stream algorithms like: motion extraction, feature
tracking and foreground extractions.
- @subpage tutorial_background_subtraction
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 2.4.6
*Author:* Domenico Daniele Bloisi
We will learn how to extract foreground masks from both videos and sequences of images and
to show them.
- @subpage tutorial_meanshift
*Languages:* C++, Java, Python
Learn how to use the Meanshift and Camshift algorithms to track objects in videos.
- @subpage tutorial_optical_flow
*Languages:* C++, Java, Python
We will learn how to use optical flow methods to track sparse features or to create a dense representation.