Online Tracking of Skin Colour Regions Against a Complex Background
This work addresses the challenge of human activity tracking in complex environments, which is incremental as it combines existing methods like MLP and stepper motors for a specific application.
The paper tackled the problem of online tracking of skin colour regions against complex backgrounds by developing a robust technique that uses a simple segmentation algorithm to train an MLP for detection and synchronizes stepper motors for tracking, achieving real-time performance.
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.