Histogram of Oriented Gradients (HOG) code using Matlab
Histogram of Oriented Gradients can be used for object detection in an image. Particularly, they were used for pedestrian detection as explained in the paper "Pedestrian Detection using Histogram of Oriented Gradients" By Dalal and Triggs. The Matlab code computes HOG in the detailed manner as explained in the paper. The descriptor can then be used for training a classifier and for detecting object/non-object regions.
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Sanyam Garg (2024). Histogram of Oriented Gradients (HOG) code using Matlab (https://www.mathworks.com/matlabcentral/fileexchange/46408-histogram-of-oriented-gradients-hog-code-using-matlab), MATLAB Central File Exchange. Retrieved .
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- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation >
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