Tracking Direction of Human Movement - An Efficient Implementation using Skeleton
This addresses security monitoring needs by providing a fast, simple solution, but it is incremental as it builds on existing skeleton-based methods.
The paper tackles the problem of detecting human presence and movement direction in controlled environments for security, presenting a lightweight algorithm that uses skeleton transformations from CCTV images to generate alerts with a low error rate.
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.