Visual-Thermal Fusion-Based Object Tracking via a Granular Computing Backed Particle Filtering

Abstract

The proposed research aims to enhance the capabilities of information fusion-based object tracking using thermal and visible imaging. An essential motivation behind this technique is to carve out a framework that may utilize many attributes from several sensors. The built-in particle filter is adapted with the granular computing concept for weighing the particles. Furthermore, the algorithm is extended to obtain source-level fusion after the attribute weight adaptation. After comparing with the state-of-the-art methods, the results obtained suggest that it outperforms the compared trackers from the literature.

KEYWORDS:

• Granular computing
• Information fusion
• Object tracking
• Particle filter
• Thermal imaging
• Visible imaging

Additional information

Notes on contributors

Satbir Singh

Satbir Singh obtained his PhD degree from the National Institute of Technology, Jalandhar (NITJ), and received ME in electronics and communication engineering from Thapar University, Patiala, India. He is presently working with Centre for Artificial Intelligence, NITJ. Previously, he had worked with Central Scientific Instruments Organization - India, Delhi Technological, University, Delhi - India, and Centre of Advanced Computing, Mohali - India. His research interests include computer vision, artificial intelligence, image and signal processing, and IoT.

Arun Khosla

Arun Khosla received his PhD degree from Indraprastha University, Delhi in Information Technology. He is presently working as professor in the Department of Electronics, and Communication Engineering, National Institute of Technology, Jalandhar, India. Dr Khosla has been a reviewer for various IEEE and other national and international conferences and serves on the editorial board of the International Journal of Swarm Intelligence Research. He is a life member of Indian Society of Technical Education. Email: [email protected]

Rajiv Kapoor

Rajiv Kapoor received an ME and PhD degrees in ECE from Delhi College of Engineering, Delhi University, and Punjab University, Chandigarh, respectively. Dr Kapoor is presently working as professor in electronics communication engineering Department, Delhi Technological University, Delhi). He has authored over 100 research papers in various renowned international journals and conferences. His primary research interests are machine learning, computer vision, signal and image processing. Email: [email protected]