Introduction About Site Map

 XML
RSS 2 Feed RSS 2 Feed
Navigation

Main Page | Blog Index

Thursday, June 7th, 2012, 8:09 pm

Cascade Classification in OpenCV – Parts 1-9

Cascade classification is easy to work with in OpenCV, but it is not so well documented. This series of short videos explains how this is done on GNU/Linux-based systems (although it may be useful and applicable to other platforms too). The videos were not scripted or planned, so please excuse the occasional stuttering and mistakes.

Keywords: OpenCV android linux gnu ubuntu cmake eclipse computervision research haar tracking machinelearning

This entry was posted on Thursday, June 7th, 2012 at 8:09 pm and is filed under Android, Programming, Research. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.

Technical Notes About Comments

Comments may include corrections, additions, citations, expressions of consent or even disagreements. They should preferably remain on topic.

Moderation: All genuine comments will be added. If your comment does not appear immediately (a rarity), it awaits moderation as it contained a sensitive word or a URI.

Trackbacks: The URI to TrackBack this entry is:

https://schestowitz.com/Weblog/archives/2012/06/07/opencv-classify/trackback/

Syndication: RSS feed for comments on this post RSS 2
    See also: What are feeds?, Local Feeds

Comments format: Line and paragraph breaks are automatic, E-mail address never displayed, HTML allowed: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>

Back to top

Retrieval statistics: 21 queries taking a total of 0.117 seconds • Please report low bandwidth using the feedback form
Original styles created by Ian Main (all acknowledgements) • PHP scripts and styles later modified by Roy Schestowitz • Help yourself to a GPL'd copy
|— Proudly powered by W o r d P r e s s — based on a heavily-hacked version 1.2.1 (Mingus) installation —|