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Background subtractor example souce code. OpenCV support about 3 types subtraction algorithm. Those are MOG, MOG2, GMG algorithms. Det... -
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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Image size of origin is 320*240. Processing time is 30.96 second took. The result of stitching The resul... -
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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Video stabilization example source code. The principle is like that... Firstly, to obtain 2 adjacent images extract good feature to t... -
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... -
'meanshift' is clustering algorithm. It can be used color segmentation, color tracking.. This article is about color segmentation ... -
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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Firstly, download TinyXML source code on here -> http://sourceforge.net/projects/tinyxml/ After unzip, you can see many files and fold... -
* Introduction - The solution shows panorama image from multi images. The panorama images is processing by real-time stitching algorithm...
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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