T. Bouwmans, A. Zakharova, B. Subudhi, M. Kapoor, D. Liang
Publisher: CRC Press, Taylor and Francis Group. [Purchase]
Tentative publication date: June 30, 2026
Preface introducing the field of Passive Visual Monitoring in Surface and Underwater Environments, and the different chapters:
This handbook solicited contributions in the field of Passive Visual Monitoring. By incorporating both existing and new ideas, this handbook gives a complete overview of the concepts, theories, algorithms, and applications related to Passive Visual Monitoring using recent advances on machine learning and signal processing. Moreover, an accompanying website is provided. This website contains the list of chapters, their abstract and links to the demos. It allows the reader to have a quick access to the main resources, datasets and codes in the field. Finally, with this handbook, we aim to bring a one-stop solution, i.e., access to a number of different solutions for PAM in surface and underwater environments. The handbook consists of tow parts.
This website contains the list of chapters, their abstract and links to the demos. It allows the reader to have a quick access to the main resources, datasets and codes in the field.
About the editors: T. Bouwmans, A. Zakharova, B. Subudhi, M. Kapoor, D. Liang (more details)
List of contributors: The contributors are representative researchers in the field. (more details)
Contents (2 Parts, 10 Chapters)
Part I. Surface Visual Monitoring
Chapter 1 - Quaternion-Based Robust PCA for Animals Detection in Wild Environments
Liyang Wang (China)
Chapter 2 - Cross-Scene Spatio-Temporal Modeling for Robust Motion Detection in Dynamic Wild Environments
Dong Liang, Liyang Zhang (NUAA, China)
Chapter 3 - Spatiotemporal Beamforming for Passive Visual Monitoring: Background Modeling and Target Segmentation
Zhiwei Cheng, Junli Liang, Guiwei Liu, Fei Wang, Miaohua Zhang, Zhuo Sun, Hing Cheung So (China)
Chapter 4 - AI-driven Learning System: An Automated Moving Object Detection Approach for Complex Surface Scenes
Upasana Panigrahi (GIET, India) , Prabodh Kumar Sahoo(GIET, India) , Manoj Kumar Panda (GIET, India), Thierry Bouwmans (La Rochelle Univ., France)
Chapter 5 - Revisiting Ranking of Moving Object Detection Algorithms for Natural Environments
Sebastien Pierard, Marc Van Droogenbroeck (Univ. Liége, Belgium)
Part II. Underwater Visual Monitoring
Chapter 1 - Graph-Based Image Enhancement for Robust Passive Visual Monitoring of Aquatic Ecosystems
Meghna Kapoor (IIT Jammu, India), Badri Narayan Subudhi (IIT Jammu, India), Thierry Bouwmans (La Rochelle Université, France), Ankur Bansal (IIT Jammu, India), T. Veerakumar (IIT Jammu, India).
Chapter 2 - Residual Graph Convolutional Networks for Passive Visual Monitoring in Aquatic Environments
Meghna Kapoor (IIT Jammu, India), Badri Narayan Subudhi (IIT Jammu, India), Thierry Bouwmans (La Rochelle Université, France) , Ankur Bansal (IIT Jammu, India), T. Veerakumar (IIT Jammu, India).
Islam Osman (UBC, Canada), Mohamed S. Shehata (UBC, Canada).
Chapter 4 - Motion Saliency based Generative Adversarial Network for Underwater Moving Object Segmentation
P. Patil, O. Thawakar, A. Dudhane, S. Murala (Trinity College Dublin, Ireland).
Chapter 5 - Hybrid Visual Tracking for Biodiversity Mass Estimation in Underwater Scenarios
Mehvish Nisaar (IIT Jammu, India), Meghna Kapoor (IIT Jammu, India), Badri Narayan Subudhi (IIT Jammu, India), V.V.R Suresh (IIT Jammu, India), T. Veerakumar (IIT Jammu, India).