10/22/2015
More stringent pedestrian detectionby Deep learning verification
Labels:
Pedestrian detection,
Pedestrian tracking,
Total,
Tracking
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Logistic Classifier The logistic classifier is similar to equation of the plane. W is weight vector, X is input vector and y is output...
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Image size of origin is 320*240. Processing time is 30.96 second took. The result of stitching The resul...
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Created Date : 2011.2 Language : C/C++ Tool : Microsoft Visual C++ 2010 Library & Utilized : OpenCV 2.2 Reference : Interent Refer...
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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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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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Background subtractor example souce code. OpenCV support about 3 types subtraction algorithm. Those are MOG, MOG2, GMG algorithms. Det...
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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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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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Google Coral USB Edge TPU Implementation Guide 1. Installation and Troubleshooting 1.1 Hardware Requirements Google Coral USB Accelerator ...
Hello Kim,
ReplyDeleteI am trying to achieve same thing with Raspberrypi and HOG+SVM 320x240 body it seems too slow to me . So my query is that if i want to achieve Realtime tracking upper body and face detection minimum Hardware requirement for.