Intelligent Object Tracking in River Floods, Andhra Pradesh, India Using MOTSC Approach

Abstract

Disaster management (DM) and aerial remote sensing plays an extensive environmental and economic disruptive role in human life. It goes beyond the capability of the affected society or community to deal with using its own resources. Floods are the recurring major disaster which resulting in huge loss of life and property year after year, though the world is being equipped with modern technology. Floods are the most common and widespread major natural disasters in India. In the past two decades, Information and communication Technology (ICT) has taken a giant leap in the development of various applications related to Internet-of-Things (IoT) especially in Geographical Information Systems (GIS) and DM applications. Still automatic recognition or identification of motion objects such as humans and animals float in the flood water and its spatial coordinates is a big challenge in the area of DM. This paper introduces a novel Motion Objects Tracking with Spatial Coordinates Algorithm (MOTSC) to focus light on flood related disasters. MOTSC analyze and recognize motion objects and also finds it spatial coordinates. The results obtained in this study reveal that the MOTSC is proved to be an innovative approach for the Dynamic Flood rescue operation.