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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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Created Date : 2011.10 Language : C/C++ Tool : Microsoft Visual C++ 2008 Library & Utilized : OpenCV 2.3 Reference : SIFT referenc... -
* Introduction - The solution shows panorama image from multi images. The panorama images is processing by real-time stitching algorithm... -
Video stabilization example source code. The principle is like that... Firstly, to obtain 2 adjacent images extract good feature to t... -
I use MOG2 algorithm to background subtraction. The process is resize to small for more fast processing to blur for avoid noise affectio...
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RTSP(Real Time Streaming Protocol) is video streaming, it usually sent from network camera. VideoCapture function in opencv also can get r...
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AMD GPU Programming Primer Threads · Waves · Memory · Tile Distribution · Vector Loads · MFMA ...
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Image size of origin is 320*240. Processing time is 30.96 second took. The result of stitching The resul... -
Optical Flow sample source code using OpenCV. It programed based on http://feelmare.blogspot.kr/2012/10/make-2-frame-having-time-interv... -
There is shape match function in the OpenCV. The function name is cvMatchShapes. This function compares two contours. If two contours is ...
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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