Tracking Direction of Human Movement - An Efficient Implementation using Skeleton

TL;DR

This paper presents a lightweight, efficient algorithm for detecting human presence and movement direction using skeleton transformation of fixed-angle CCTV images, suitable for security in controlled environments.

Contribution

It introduces a novel skeleton-based method for real-time human movement detection with low computational complexity.

Findings

High detection accuracy in controlled settings

Low false alarm rate

Real-time performance achieved

Abstract

Sometimes a simple and fast algorithm is required to detect human presence and movement with a low error rate in a controlled environment for security purposes. Here a light weight algorithm has been presented that generates alert on detection of human presence and its movement towards a certain direction. The algorithm uses fixed angle CCTV camera images taken over time and relies upon skeleton transformation of successive images and calculation of difference in their coordinates.