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Human Motion Analysis and Pose Estimation by dija am is a document available to read on EtoBox.

This thesis presents a human motion analysis system that utilizes computer vision techniques to estimate human poses from images or videos. It introduces a novel color-to-greyscale conversion method, an optimized Histogram of Oriented Gradients (HOG) human body detector, and an improved Generalized Distance Transform and Orientation Maps (GDT&OM) pose estimator, culminating in a key-frame extraction system. The proposed systems show promising results for specific motion categories but are limited by their d

Author

dija am

Language

EN