IR Cameras

S. Nadimi, B. Bhanu, “Physics-based Models of Color and IR Video for Sensor Fusion”, IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems, pages 161-166, Tokyo, Japan, July 2003.

S. Nadimi , B. Bhanu, “Physics-based cooperative sensor fusion for moving object detection”, IEEE Workshop on Learning in Computer Vision and Pattern Recognition, CVPR 2004, June 2004.

C. Conaire, N. O'Connor, E. Cooke, A. Smeaton, “Multispectral object segmentation and retrieval in surveillance video”, IEEE International Conference on Image Processing, ICIP 2006, pages 2381-2384, 2006.

C. Conaire E. Cooke, N. O'Connor, N. Murphy, A. Smeaton , “Background Modeling in Infrared and Visible Spectrum Video for People Tracking”, International Conference on Computer Vision and Pattern Recognition, CVPR 2005, San Diego, CA, June 2005.

C. Conaire, E. Cooke, N. O'Connor, N. Murphy, A. Smeaton, “Fusion of Infrared and Visible Spectrum Video for Indoor Surveillance”, International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2005, Montreux, Switzerland, April 2005.

J. Davis, V. Sharma, “Robust Background-Subtraction for Person Detection in Thermal Imagery”, IEEE International Workshop on Object Tracking and Classification Beyond the Visible Spectrum, Washington DC, July 2004.

J. Davis, V. Sharma, “Robust Detection of People in Thermal Imagery”, International Conference on Pattern Recognition, Cambridge, United Kingdom, pages 713-716, August 2004.

J. Davis, M. Keck, “A Two-Stage Template Approach to Person Detection in Thermal Imagery”, Workshop on Applications of Computer Vision, Breckenridge, Colorado, January 2005.

J. Davis, V. Sharma, “Fusion-based Background-Subtraction using Contour Saliency”, IEEE Workshop on Object Tracking and Classification in and Beyond the Visible Spectrum, San Diego, CA, June 20, 2005.

J. Davis, V. Sharma, “Background-Subtraction in Thermal Imagery Using Contour Saliency", International Journal of Computer Vision, 2006.

J. Davis, V. Sharma, “Background-subtraction using contour-based fusion of thermal and visible imagery”, CVIU 2007, 2007.

J. Davis, V. Sharma “Background-Subtraction in Thermal Imagery Using Contour Saliency”, International Journal of Computer Vision, Volume 71, Issue 2, pages 161–181, 2007.

K. Makantasis, A. Doulamis, N. Doulamis, “Variational inference for background subtraction in infrared imagery”, International Symposium on Visual Computing, pages 693-705, June 2015.

A. Nikitakis, I. Papaefstathiou, K. Makantasis, A. Doulamis, “A novel background subtraction scheme for in-camera acceleration in thermal imagery”, Design, Automation and Test in Europe Conference and Exhibition, DATE 2016, Dresden, Germany, pages 1497-1500, 2016.

D. Yadav, K. Sing, “A combined approach of Kullback-Leibler divergence and background subtraction for moving object detection in thermal video”, Infrared Physics and Technology, Volume 76, pages 21-31, May 2016.

L. Sharma, D. Yadav, K. Sing, “Fisher’s linear discriminant ratio based threshold for moving human detection in thermal video”, Infrared Physics and Technology, Volume 76, pages 118-128, September 2016.

S. Becker, N. Scherer-Negenborn, P. Thakkar, W. Hubner, M. Arens, "The effects of camera jitter for background subtraction algorithms on fused infrared-visible video streams", SPIE 9995, October 2016.

B. Cyganek, M. Wozniak, "Efficient Real-Time Background Detection based on the PCA Subspace Decomposition", International Conference on Artificial Intelligence and Soft Computing, ICAISC 2017, Auckland, New Zealand, June 2017.

K. Makantasis, A. Nikitakis, A. Doulamis, N. Doulamis, Y. Papaefstathiou, "Data-Driven Background Subtraction Algorithm for in-Camera Acceleration in Thermal Imagery", IEEE Transactions on Circuits and Systems for Video Technology, 2017.

G. Yao, T. Lei, J. Zhong, P. Jiang, W. Jia, "Comparative Evaluation of Background Subtraction Algorithms in Remote Scene Videos Captured by MWIR Sensors"; MDPI Sensors, 2017.

S. Yang, B. Luo, C. Li, G. Wang, J. Tang, “Fast Grayscale-Thermal Foreground Detection with Collaborative Low-rank Decomposition", IEEE Transactions on Circuits and Systems for Video Technology, June 2017

C. Li, X. Wang, L. Zhang, J. Tang, H. Wu, L. Lin, “WELD: Weighted Low-rank Decomposition for Robust Grayscale Thermal Foreground Detection", IEEE Transactions on Circuits and Systems for Video Technology, 2016.

Y. Yan, J. Ren, H. Zhao, G. Sun, Z. Wang, J. Zheng, S. Marshall, J. Soraghan, “Cognitive Fusion of Thermal and Visible Imagery for Effective Detection and Tracking of Pedestrians in Videos”, Cognitive Computation, December 2017.

Y. Wu, Y. Wang, P. Liu, H. Luo, B. Cheng, H. Sun, "Infrared LSS-Target Detection via Adaptive TCAIE-LGM Smoothing and Pixel-Based Background Subtraction", Photonic sensors, October 2018.

S. Qiu, Y. Tang, Y. Dua, S. Yang, "The infrared moving target extraction and fast video reconstruction algorithm", Infrared Physics and Technology, Volume 97, pages 85-62, 2019.

D. Yang, "Detail-enhanced target segmentation method for thermal video sequences based on spatiotemporal parameter update technique", IET Image Processing, Volume 13, No. 1, page 216, 2019.

R. Boukhriss, E. Fendri, M. Hammami, "Moving Object Detection Under Different Weather Conditions using Full-Spectrum Light Sources", Pattern Recognition Letters, 2019.

A. Shahbaz, K. Jo, "Enhanced Unsupervised Change Detector for Industrial Surveillance Systems", IEEE Transactions On Industrial Electronics, 2020.

A. Shahbaz, K. Jo, "Improved Change Detector using Dual-Camera Sensors for Intelligent Surveillance Systems", IEEE Sensors Journal, 2020.

J. Bin, C. Rahman, S. Rogers, Z. Liu, "Tensor-based Approach for Liquefied Natural Gas Leakage Detection from Surveillance Thermal Cameras: A Feasibility Study in Rural Areas", IEEE Transactions on Industrial Informatics, 2021.

M. Rai, R. Sharma, S. Satapathy, D. Yadav, T. Maity, R. Yadav, “An improved statistical approach for moving object detection in thermal video frames”, Multimedia Tools and Applications, January 2022.

M. Rai, T. Maity, A. Husain, R. Yadav, "Pearson's correlation and background subtraction (BGS) based approach for object's motion detection in infrared video frame sequences", Statistical Papers, June 2022.