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Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
We are working on Object detection and extraction from Surveillance Camera Footage.After extracting the object of our interest , we want to compare their their Normalized color Histograms using Chi Square Method. Implementation of various Tracking Methods
This project provides a tool to compare two images using various similarity metrics, including histograms, structural similarity index (SSIM), mean squared error (MSE), mean absolute error (MAE), feature matching, and image hashing.
Read images, compute bins, generate image histograms, which involves equalising a 64-bin grayscale histogram and comparing and matching the two histograms.