Online Tracking of Skin Colour Regions Against a Complex Background

TL;DR

This paper presents a fast, robust method for tracking skin colour regions in complex backgrounds using a perceptron-based segmentation and motor synchronization, enhancing real-time human activity monitoring.

Contribution

It introduces a novel combination of simple segmentation and MLP training for skin colour detection, synchronized with stepper motors for real-time tracking.

Findings

Effective localization of skin regions in complex scenes.

Fast and robust tracking suitable for real-time applications.

Successful synchronization of motors with skin region detection.

Abstract

Online tracking of human activity against a complex background is a challenging task for many applications. In this paper, we have developed a robust technique for localizing skin colour regions from unconstrained image frames. A simple and fast segmentation algorithm is used to train a multiplayer perceptron (MLP) for detection of skin colours. Stepper motors are synchronized with the MLP to track the movement of the skin colour regions.