Real-Time Color Based Human Tracking and Occlusion Handling Using Computer Vision IoT Project

Abstract

In today’s world, object tracking and occlusion handling are one of the most significant problems in the research area of computer vision. Visual tracking and occlusion problem occurs in industry, company, school, hospital and other public domain places where abnormal activity happens.

They have key problems in numerous applications like traffic control. security, fast object motion pattern recognition and robotics. Hiding of an object by another object during tracking called an occlusion. To remove occlusion we developed a color based algorithm to track and handle occlusion in multiple objects. Real-Time Color Based Human Tracking and Occlusion Handling 

Object detection, identification, recognition, and tracking from video is a fundamental problem in the computer vision and image processing fields . This task requires an object modelling and motion analysis, and various types of object models have been developed for improved performance. Recent developments in state-of-the-art sensors widen the application area of video object tracking by solving the practical limitations.