Fish (27 papers)
F. El Baf, T. Bouwmans. Comparison of background subtraction methods for a multimedia learning space. International Conference on Signal Processing and Multimedia, SIGMAP, July 2007.
C. Spampinato, Y. Burger, G. Nadarajan, R. Fisher, "Detecting, tracking and counting fish in low quality unconstrained underwater videos", VISAPP 2008, pages 514–519, 2008.
C. Spampinato, S. Palazzo, I. Kavasidis, "A texton-based kernel density estimation approach for background modeling under extreme conditions", Computer Vision and Image Understanding, CVIU 2014, Volume 122, pages 74-83, 2014.
X. Zhao, S. Yan, Q. Gao, “An Algorithm for Tracking Multiple Fish Based on Biological Water Quality Monitoring”, IEEE Access, 2019.
A. Salman, S. Maqbool, A. Khan,A. Jalal, F. Shafait, “Real-time fish detection in complex backgrounds using probabilistic background modelling”, Ecological Informatics Volume 51, pages 44-51 May 2019,
A. Salman, S. Siddiqui, F. Shafait, A. Mian, M. Shortis, K. Khurshid, A. Ulges, U. Schwanecke, "Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system", ICES Journal of Marine Science, 2019.
Y. Ling, P. Lau "Fish monitoring in complex environment", International Workshop on Advanced Image Technology, IWAIT 2019, 2019.
A. Jalal, A. Salaman, A. Mian, M. Shortis, F. Shafait, "Fish detection and species classification in underwater environments using deep learning with temporal information", Ecological Informatics, Volume 57, May 2020.
V. Shevchenko, "Fish detection for species recognition", Master Thesis, Lappeenranta University of Technology, Finland, 2017.
C. Negrea, D. Thompson, S. Juhnke, S. Fryer, F. Loge, "Automated Detection and Tracking of Adult Pacific Lampreys in Underwater Video Collected at Snake and Columbia River Fishways", North American Journal of Fisheries Management, pages 111-118, 2014.
S. Panda, P. Nanda, "Kernel Density Estimation and Correntropy based Background Modeling and Camera Model Parameter Estimation for Underwater Video Object Detection", Preprint, 2021.
M. Shruthi, B.Harsha, G. Indumathi, “Sliding Windowed Fuzzy Correlation Analysis-Based Marine Motion Detection”, Conference on High Performance Computing and Networking, 2022.
D. Rout, P. Bhatt, B. Subudhi, T. Veerakumar, S. Chaudhury, “A Novel Five-frame Difference Scheme for Local Change Detection in Under Water Video”, IEEE ICIIP, pages 1-6, Shimla, India, 2017.
D. Rout, B. Subudhi, T. Veerakumar, S. Chaudhury, “Spatio-Contextual Gaussian Mixture Model for Local Change Detection in Underwater Video", Expert Systems with Applications, Volume 97, pages 117-136, 2018.
A. Salman, S. Maqbool, A. Khan, A. Jalal, F. Shafait, “Real-time Fish Detection in Complex Backgrounds using Probabilistic Background Modelling”, Ecological Informatics, Volume 51, pages 44-51, May 2019.
A. Salman, S. Siddiqui, F. Shafait, A. Mian, M. Shortis, K. Khurshid, A. Ulges, U. Schwanecke, “Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system”, ICES Journal of Marine Science, Volume 77, Issue 4, pages 1295-1307, 2020.
V. Bajpai, A. Sharma, B. Subudhi, T. Veerakumar, V. Jakhetiya, "Underwater U-Net: Deep Learning with U-Net for Visual Underwater Moving Object Detection", OCEANS 2021, San Diego, USA, pages 1-4, September 2021.
M. Kapoor, S. Patra, B. Subudhi, V. Jakhetiya, A. Bansal, "Underwater Moving Object Detection using an End-to-End Encoder-Decoder Architecture and GraphSage With Aggregator and Refactoring", WiCV Workshop in conjunction with IEEE Conference on Computer Vision and Pattern Recognition, CVPRW 2023, Vancouver, Canada, 2023.
A. Srikanth, S. Thirandas, D. Balamuguran, A. Daga, R. Vincent, T. Padir, D. Saha, “Real-Time Background-Agnostic Fish Localization in Underwater Videos towards Autonomous Species Monitoring”, IEEE Oceans, 2024.
A. Zhang, T. Palaoag, “Underwater Fish Tracking Algorithm Based on ViBe Detection and Covariance Matrix”, International Conference on Image, Video and Signal Processing, IVSP 2024, March 2024.
M. Nissar, B. Subudhi, V. Jakhetiya, A. Mishra, "Underwater Change Detection using Multiple Sampling-based Probabilistic Learner and Feature Preservance Discriminator", IEEE International Conference on Image Processing, ICIP 2024, Abu Dhabi, UAE, October 2024.
M. Nissar, A. Mishra, B. Subudhi, “Dual Stream Encoder–Decoder Architecture with Feature Fusion Model for Underwater Object Detection”, MDPI Mathematics, October 2024.
M. Kapoor, B. Subudhi, V. Jakhetiya A. Bansal, "Principal Graph Neighborhood Aggregation for Underwater Moving Object Detection", International Conference on Pattern Recognition , ICPR 2024, Kolkata, India, October 2024.
D. Rout M. Kapoor, B. Subudhi, V. Thangaraj, V. Jakhetiya, A. Bansal, "Underwater Visual Surveillance: A Comprehensive Survey", Ocean Engineering , October 2024.
M. Kapoor, B. Subudhi, A. Bansal, "Graph Refinement in Latent Space: A Hypergraph Convolution for Underwater Object Detection", IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2025, Hyderabad, India, 2025.
M. Nissar, B. Subudhi, A. Mishra, V. Jakhetiya, “NICASU: Neurotransmitter Inspired Cognitive AI Architecture for Surveillance Underwater”, IEEE Transactions on Artificial Intelligence, March 2025.
M. Kapoor, B. Subudhi, V. Jakhetiya, A. Bansal, “MD-UMOS: Markov Diffusion Induced Spectral Graph Learning for Underwater Moving Object Segmentation”, IEEE Transactions on Information Forensics and Security, 2025.
Cetaceans (1 paper)
E. Sheehan, D. Bridger, S. Nancollas, S. Pittman, "PelagiCam: a novel underwater imaging system with computer vision for semi-automated monitoring of mobile marine fauna at offshore structures", Environmental Monitoring and Assessment, 2020.