Tracking Direction of Human Movement - An Efficient Implementation using Skeleton

06/29/2015
by   Merina Kundu, et al.
0

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.

READ FULL TEXT

page 2

page 4

page 5

research
06/29/2015

Human Shape Variation - An Efficient Implementation using Skeleton

It is at times important to detect human presence automatically in secur...
research
07/21/2020

Movement Assessment from Skeleton Videos: A Review

The raising availability of 3D cameras and dramatic improvement of compu...
research
10/07/2019

Skeleton based simulation of turbidite channels system

A new approach to model turbidite channels using training images is pres...
research
08/21/2018

Real Time Elbow Angle Estimation Using Single RGB Camera

The use of motion capture has increased from last decade in a varied spe...
research
08/17/2016

Large Angle based Skeleton Extraction for 3D Animation

In this paper, we present a solution for arbitrary 3D character deformat...
research
08/08/2023

YUDO: YOLO for Uniform Directed Object Detection

This paper presents an efficient way of detecting directed objects by pr...
research
04/19/2021

Automatic glissade determination through a mathematical model in electrooculographic records

The glissadic overshoot is characterized by an unwanted type of movement...

Please sign up or login with your details

Forgot password? Click here to reset