About this document

Human Pose Recovery & Action Recognition by sujeetsujeet7000 is a document available to read on EtoBox.

This document presents a model for human action recognition in videos through pose estimation of articulated humans in static images. The approach involves segmenting videos into frames, extracting features, and utilizing a Modified LCS algorithm to classify actions based on labeled body parts. The model has been tested on various actions with varying accuracy, highlighting challenges such as occlusions and the need for depth data for improved performance.

Author

sujeetsujeet7000

Language

EN