Subscribe to:
Post Comments (Atom)
-
This example source code is to extract HOG feature from images. And save descriptors to XML file. The source code explain how to use HOGD...
-
Image size of origin is 320*240. Processing time is 30.96 second took. The result of stitching The resul...
-
This is example for background subtraction on opencv 3.2 version previously, I post 2.7 version example on here. http://study.marearts.co...
-
Background subtractor example souce code. OpenCV support about 3 types subtraction algorithm. Those are MOG, MOG2, GMG algorithms. Det...
-
Created Date : 2011.8 Language : Matlab Tool : Matlab 2010 Library & Utilized : - Reference : Multiple View Geometry (Hartly and Z...
-
As you can see in the following video, I created a class that stitching n cameras in real time. https://www.youtube.com/user/feelmare/sear...
-
line, circle, rectangle, ellipse, polyline, fillConvexPoly, putText, drawContours example source code!!. ...
-
This post is about how to copy Mat data to vector and copy vector data to Mat. Reference this example source code. printf("///////...
-
* Introduction - The solution shows panorama image from multi images. The panorama images is processing by real-time stitching algorithm...
-
opencv 3.0 cuda version optical flow More detail refer to example source code. .. #include < iostream> #include "op...

This comment has been removed by the author.
ReplyDeleteThis one is better than "More stringent pedestrian detection by Deep learning verification" and "More stringent pedestrian detection by HOG verification". Do you use OpenCV to achieve such result?
ReplyDeleteDetecting pedestrian using Deep learning is recorded high rate false positive, but not sensitive variable pedestrian pose. and processing speed is not good.
DeleteHog is fast, but to detect typical appearance when training data pose.
So, I can not say yet, which way is better..
Thank you.
can you share this source code! Thank you
ReplyDelete