Subscribe to:
Post Comments (Atom)
-
Created Date : 2009.10. Language : C++ Tool : Visual Studio C++ 2008 Library & Utilized : Point Grey-FlyCapture, Triclops, OpenCV... -
Created Date : 2011.10 Language : C/C++ Tool : Microsoft Visual C++ 2008 Library & Utilized : OpenCV 2.3 Reference : SIFT referenc... -
Created Date : 2011.2 Language : C/C++ Tool : Microsoft Visual C++ 2010 Library & Utilized : OpenCV 2.2 Reference : Interent Refer... -
Image size of origin is 320*240. Processing time is 30.96 second took. The result of stitching The resul... -
Video stabilization example source code. The principle is like that... Firstly, to obtain 2 adjacent images extract good feature to t... -
* Introduction - The solution shows panorama image from multi images. The panorama images is processing by real-time stitching algorithm... -
There is shape match function in the OpenCV. The function name is cvMatchShapes. This function compares two contours. If two contours is ... -
My Environment : MS VS 2008 & MFC(Dialog Based) Joy Stick : Logitech Extreme 3D pro (XBox Type) Cteated Date : 2012. 03 [source code]... -
Background subtractor example souce code. OpenCV support about 3 types subtraction algorithm. Those are MOG, MOG2, GMG algorithms. Det... -
This is example of SVM learning method. This example is I already have explained in past time. See the this page - > http://feelmare.bl...
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