11/20/2015
multi pedestrian object tracking
Labels:
Pedestrian detection,
Pedestrian tracking,
Total,
Tracking
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The MNIST dataset is a dataset of handwritten digits, comprising 60 000 training examples and 10 000 test examples. The dataset can be downl...
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Embeded camera R&D for Real-Time fire detection surveillance in tunnel environment - 2008.07.01~2009.06.30 - High Computing Power E...
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This post is about how to copy Mat data to vector and copy vector data to Mat. Reference this example source code. printf ( "/////...
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My Environment : MS VS 2008 & MFC(Dialog Based) Joy Stick : Logitech Extreme 3D pro (XBox Type) Cteated Date : 2012. 03 [source code]...
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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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This is data acquisition source code of LMS511(SICK co.) Source code is made by MFC(vs 2008). The sensor is communicated by TCP/IP. ...
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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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The latent SVM tells the learning method used in this paper -> "Discriminatively trained deformable part models". The authors s...
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simply check below code and example result. . def image_grid ( imgs , rows , cols ): assert len ( imgs ) == rows * cols w , h...
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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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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