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Video target tracking

Pedestrian tracking has been a focus of video research issues, this code is Queen's Kalman tracking pedestrians, then detects the presence of pedestrians in video scenes, and track pedestrians with the red rectangle can be used to enable tracking...

Hand gesture recognition based on HMM

Opencv with c and achieve dynamic gesture recognition using hmm algorithm, which has the full implementation of HMM, and to achieve recognition and down about five circle gesture. Hmm learning a great help...

Lane detection based on OpenCV

Based on opencv2.4.10, using the vs2013 c++ code compilation, video of the finish lane lane recognition. Along with the video playback can display real-time lane (in the inverse perspective transformations shown in the figure) because the perspective is pixel based on the interpolation method to get...

OpenCV vectorization

OpenCV2.3.1 implementation of binarization processing of the picture's outline, and call open source rec2vec implementation of contour's vectorization!...

Sift-based image mosaic (vs2010 + opencv2.4.9)

Extract image features by sift algorithm, then search algorithm with KD matching feature, except to point with RANSANC algorithm. Calculate homography H, converting the floating image, interpolation, using a weighted approach to the integration of the overlapping area. Final mosaic image obtained go...

MATLAB image stitching

Main procedures using the SIFT algorithm for image feature extraction and feature rough, using random sampling algorithm (RANSAC) image mismatch, and finally the image fusion....

a demo for pedestrian detection

There is a demo for pedestrian detection and some photos for testing in this compressed file.   With the libraries of OpenCV 2.3.0, I detect the pedestrians using the default classifier. The feature is Histograms of Oriented Gradients and the classified method is Support Vector Mach...

Deep learning image classification codes

A deep learning model deep-net which is self-encoding SEA and classifier, is used for image classification; SEA may be used to represent the input data may be the most important factor, plus classifier softmax classification can be achieved; in the image classification better than other models...

3D face recognition

This is a completely working 3D face recognition system made in python. Please find the instructions in readme file.It implements following features:1. Normalization2. Smoothing3. Interpolation4. Cropping5. Zooming6. Key point extraction7. Rotation...

Read DICOM files written in C++ programs

Read DICOM files written in C++ programs, the basis for comparison. Related code can be seen in the DICOM file format and the corresponding display. The basis for comparison, suitable for initial contact with the friend of DICOM files...

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