Organizers
VINCENZO CARLETTI (University of Salerno, Italy) - vcarletti@unisa.it
ANDREA CAVALLARO (EPFL, Switzerland) andrea.cavallaro@epfl.ch
ANTONIO GRECO (University of Salerno, Italy) agreco@unisa.it
ALESSIA SAGGESE (University of Salerno, Italy) asaggese@unisa.it
BRUNO VENTO (University of Naples - Federico II, Italy) bruno.vento@unina.it
1)TOPICS:
● ) Core Technologies & Behavioral Analysis
● Object Detection and Recognition
● Multi-Target and Multi-Camera Tracking
● Person and Object Re-Identification
● Activity and Behavior Analysis
● Anomaly Detection and Event Forecasting
● Video Understanding in Unconstrained Environments
2) Trustworthy AI, Data & Real-World Impact
● Datasets and Benchmarks for Video Analytics
● Domain Adaptation and Generalization
● Environmental and Situational Monitoring
● Case Studies and Real-World Applications
● Privacy-Preserving Video Analytics
● Fairness and Bias Mitigation in Video Understanding
Organizers:
Marco Del Coco (CNR-ISASI, Italy) marco.delcoco@cnr.it
Pierluigi Carcagnì (CNR-ISASI, Italy) pierluigi.carcagni@cnr.it
Antonio Petitti (CNR-STIMA, Italy) antonio.petitti@cnr.it
Laura Romeo (CNR-STIMA, Italy) laura.romeo@cnr.it
Annalisa Milella (CNR-STIMA, Italy) annalisa.milella@cnr.it
Topics:
● Multi-Modal Sensing for Crop and Livestock Monitoring
● Computer Vision at Scale: From Pixel to Agronomic Insight
● Security, Privacy, and Integrity of Agricultural Data and Systems
● Autonomous Monitoring and Intervention: Mobile Agents in Agriculture
● Signal Processing for Soil and Plants
● Optimization techniques of water resources for Agriculture
Organizers:
Marco Marcon (Politecnico di Milano)
Marco Brando Mario Paracchini (Politecnico di MIlano)
Carlo Pezzoli (Politecnico di Milano - Italy)
Topics
● AI for distributed surveillance and monitoring systems
● Edge and far-edge intelligence for real-time inference
● Multimodal sensor fusion (vision, radar, lidar, acoustic, wearable, environmental sensors)
● Efficient and low-power AI (TinyML, quantization, model compression)
● Visual and signal-based anomaly detection
● Object detection, tracking, and scene understanding in dynamic environments
● Multi-agent and cooperative sensing systems
● Localization, mapping, and spatial awareness for mobile platforms
● Secure and resilient AI deployment in distributed architectures
● Privacy-aware and trustworthy surveillance systems
● Benchmarking, datasets, and evaluation protocols for monitoring applications
● AI lifecycle management across cloud–edge continuum
Organizers
Lucia Cimmino (Pegaso University, Italy)
Carmen Bisogni ( University of Salerno, Italy )
Chiara Pero (Link Campus University, Italy )
Marco Cascio (Link Campus University, Italy
TOPICS
● Biometric systems tailored to specific population groups, such as children, elderly users, people with disabilities, and neurodiverse users
● Population-aware face recognition, person re-identification, and identity analysis in real-world scenarios such as public spaces, educational institutions, healthcare facilities,
rehabilitation centers, and semi-controlled surveillance environments
● Behavioral biometrics and activity-based identity modeling across diverse user groups, including applications in continuous authentication, user monitoring, learning analytics,
rehabilitation tracking, and interactive systems
● Visual, audio, and multi-sensor biometric sensing under atypical or constrained conditions, such as limited cooperation, reduced mobility, occlusions, sensor noise, or non-standard interaction modalities in assistive, medical, educational, and surveillance systems
● Signal-based biometric modeling and identity recognition using physiological and behavioral signals (e.g., ECG, EEG, inertial and wearable sensor data, fall detection
signals), with applications in monitoring, safety-critical environments, and real-world surveillance systems
● Multimodal biometric fusion adapted to population-specific characteristics, with applications aimed at improving robustness and reliability in monitoring systems, assistive
environments, and safety-critical contexts
● Dataset collection, annotation, and benchmarking for non-standard populations, including data acquired in educational settings, healthcare and rehabilitation environments,
assisted living facilities, and public or semi-public spaces
● Bias, performance variability, and failure analysis across population groups, with implications for deployment in population-diverse scenarios such as large-scale surveillance,
public services, and inclusive technologies
● Longitudinal biometric modeling across developmental, aging, or rehabilitation processes, including applications in child development monitoring, aging-related identity
changes, and recovery assessment in medical and assistive contexts
● Biometric systems in population-specific application domains, including surveillance, assistive technologies, healthcare, education, and rehabilitation, where user diversity
represents a primary design constraint
● Ethical, legal, and methodological challenges in population-specific biometric research, particularly in sensitive contexts involving minors, vulnerable individuals, or long-term
monitoring.
Organizers:
Piernicola Lollino (Department of Earth Sciences, University of Bari Aldo Moro, Italy)
Paolo Allasia (Research Institute for Geo-Hydrological Protection, National Research Council, Turin, Italy)
Nunzio Luciano Fazio (Geotechnical Engineer formerly Research Institute for Geo-Hydrological Protection, National Research Council, Bari Italy)
Topics:
This workshop is aimed at hosting contributions focusing on advanced monitoring systems, both visual and signal-based systems, capable to detect the onset or the evolution of rocky cliff failure processes. Works dealing with both remote- and proximal-sensing techniques are welcome, so that the workshop could represent a state of the art regarding such a challenging and innovative topic.
The topics of the workshop are mainly focused on:
● Smart cameras
● IoT surveillance
● Anomaly detection
● Deep learning
● UAV-based and large-scale monitoring systems
● Public safety.
Organizers
Concetto Spampinato (University of Catania, Italy)
Marco Milazzo (University of Palermo Italy)
Cosimo Distante (CNR, Italy)
Paolo Spagnolo (CNR, Italy)
Ilyes Benaissa (CNR, Italy)
Topics 1. Computer Vision for Biodiversity Analysis:
● AI-driven species identification, counting, and tracking from camera traps, baited remote underwater video systems (Bruvs), drones, and underwater vehicles.
● Individual animal re-identification using biometrics (e.g., fur patterns, scars, fin shapes)
for population studies.
● Automated analysis of animal behavior and social interactions in the wild.
2. Multi-Modal Environmental Monitoring:
● Sensor fusion for ecological surveillance, combining video, audio (bioacoustics), thermal,
LiDAR, and eDNA data.
● Anomaly detection (and early-warning systems) for environmental threats such as
poaching, illegal logging, pollution events (e.g., oil spills, microplastics), invasive species,
and wildfire ignition.
● Multimodal foundation models for understanding complex ecosystem dynamics, linking
visual data with climatic and chemical parameters.
3. Autonomous Systems for Ecology:
● UAV/drone-based monitoring of remote or inaccessible habitats (forests, coastlines,
marine protected areas).
● Autonomous surface and underwater vehicles for marine biodiversity assessment and
seafloor habitat mapping.
● Edge AI for real-time, in-situ analysis on robotic platforms, enabling adaptive mission
planning.
4. AI for Ecosystem Health and Restoration:
● Habitat change detection using high-resolution satellite and aerial imagery.
● Assessment of restoration interventions through automated vegetation and
geomorphological analysis.
● Digital twins of ecosystems for predictive modeling and scenario analysis to support
evidence-based conservation interventions and policy.
An Innovative Approach for Water Resources Management - SAVE water Project meeting
Organizers
Pier Luigi Mazzeo (CNR, Italy)
Salwa Saidi (FST -UTM, Tunisia)
Topics :
● Local implementation and stakeholder engagement through participatory workshops and Living Labs;
● Development and application of soil–water–plant modeling and precision irrigation strategies;
● Integration of satellite data for evapotranspiration and hydrological forecasting;
● Economic and governance analysis for sustainable pricing and resource allocation models.
The MicrosoftCMTservice was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.