Article: Tracking and monitoring framework using context-based approach for real-time surveillance: a case study Journal: International Journal of Web Engineering and Technology (IJWET) 2026 Vol.21 No.1 pp.4 - 26 Abstract: We propose a monitoring system based on real-time surveillance for green society with internet of things (IoT) for understanding location of user/substance in enclosed environment. Tracking individuals and locations using maps, provided by different organisations, have been seen several times. We aim to design tracking within specified enclosed area. All users entering the proposed system are provided with a device to generate live data of their movements within the area. Generated live data is sent over the web for further tracking based on pre-defined context. New theory based on total displacement and its relation to initial position, final position and number of displacements has been proposed in this paper. The system aims towards contributing to green society providing reusable, low emission devices for tracking. Our system is distributed with server side being remotely located for overall analysis. We are going to formulate the tracking system by experimenting on different contexts (circle mesh, triangle mesh, hexagon mesh, octagon mesh). Assurance factor and percentage of change in prediction are used to predict accurate results. Comparison with existing surveillance systems show improved results. Inderscience Publishers - linking academia, business and industry through research

Title: Tracking and monitoring framework using context-based approach for real-time surveillance: a case study

Authors: Nivedita Ray; Anirban Kundu; Mou De

Addresses: Netaji Subhash Engineering College, Kolkata – 700152, India; Computer Innovative Research Society, Howrah – 711103, West Bengal, India ' Netaji Subhash Engineering College, Kolkata – 700152, India; Computer Innovative Research Society, Howrah – 711103, West Bengal, India ' Netaji Subhash Engineering College, Kolkata – 700152, India; Computer Innovative Research Society, Howrah – 711103, West Bengal, India

Abstract: We propose a monitoring system based on real-time surveillance for green society with internet of things (IoT) for understanding location of user/substance in enclosed environment. Tracking individuals and locations using maps, provided by different organisations, have been seen several times. We aim to design tracking within specified enclosed area. All users entering the proposed system are provided with a device to generate live data of their movements within the area. Generated live data is sent over the web for further tracking based on pre-defined context. New theory based on total displacement and its relation to initial position, final position and number of displacements has been proposed in this paper. The system aims towards contributing to green society providing reusable, low emission devices for tracking. Our system is distributed with server side being remotely located for overall analysis. We are going to formulate the tracking system by experimenting on different contexts (circle mesh, triangle mesh, hexagon mesh, octagon mesh). Assurance factor and percentage of change in prediction are used to predict accurate results. Comparison with existing surveillance systems show improved results.

Keywords: tracking; internet of things; IoT; surveillance; context awareness; security; system monitoring; green computing; green society; closed-circuit television; CCTV.

DOI: 10.1504/IJWET.2026.153360

International Journal of Web Engineering and Technology, 2026 Vol.21 No.1, pp.4 - 26

Received: 22 Jan 2024
Accepted: 21 Nov 2024
Published online: 06 May 2026 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article

Title: Tracking and monitoring framework using context-based approach for real-time surveillance: a case study

Keep up-to-date