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fig 1. Left: set 4 points (Left Top, Right Top, Right Bottom, Left Bottom), right:warped image to (0,0) (300,0), (300,300), (0,300) Firstl... -
Image size of origin is 320*240. Processing time is 30.96 second took. The result of stitching The resul... -
CString str; int integer; integer = _wtoi(str); // wide charater formats integer = _atoi(str); // otherwise Thank you~!! ...
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Background subtractor example souce code. OpenCV support about 3 types subtraction algorithm. Those are MOG, MOG2, GMG algorithms. Det... -
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...
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This is example for background subtraction on opencv 3.2 version previously, I post 2.7 version example on here. http://study.marearts.co...
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Optical Flow sample source code using OpenCV. It programed based on http://feelmare.blogspot.kr/2012/10/make-2-frame-having-time-interv... -
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...
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refer to below code. CString selectedModel; m_ListBoxOfConnection.GetText(sel, selectedModel); //selectedModel = "com1,model1,base&qu...
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refer to this web page -> http://docs.opencv.org/trunk/doc/py_tutorials/py_video/py_lucas_kanade/py_lucas_kanade.html dense optical f...
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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