E-grāmata: Image Analysis and Processing. ICIAP 2022 Workshops: ICIAP International Workshops, Lecce, Italy, May 23-27, 2022, Revised Selected Papers, Part II

Human Behaviour Analysis for Smart City Environment Safety -
HBAxSCES.- A framework for forming middle distance routes based on spatial
guidelines, perceived accessibility and visual cues in smart city.- A survey
on Few-Shot techniques in the context of Computer Vision applications based
on Deep Learning.- Decision-Support System for Safety and Security Assessment
and Management in Smart Cities.- Embedded intelligence for safety and
security machine vision applications.- Supporting Energy Digital Twins with
Cloud Data Spaces: an Architectural Proposal.- High-level feature extraction
for Crowd Behaviour Analysis: a Computer Vision approach.- Binary is the new
Black (and White): Recent Advances on Binary Image Processing.- A Simple yet
Effective Image Repairing Algorithm.- A Novel Method for Improving the
Voxel-Pattern-Based Euler Number Computing Algorithm of 3D Binary
Images.- Event-based object detection and tracking - A traffic monitoring use
case.- Quest for Speed: The Epic Saga of Record-Breaking on OpenCV Connected
Components Extraction.- An efficient run-based Connected Component Labeling
algorithm for processing holes.- LSL3D: a run-based Connected Component
Labeling algorithm for 3D volumes.- Artificial Intelligence for preterm
infants healthCare - AI-care.- Deep-learning architectures for placenta
vessel segmentation in TTTS fetoscopic images.- An Advanced Tool for
Semi-Automatic Annotation for Early Screening of Neurodevelopmental
Disorders.- Some ethical remarks on Deep Learning-based movements monitoring
for preterm infants: Green AI or Red AI?.- Towards a Complete Analysis of
People: From Face and Body to Clothes - T-CAP.- Effect of Gender, Pose and
Camera Distance on Human Body Dimensions Estimation.- StyleTrendGAN: a deep
learning generative framework for fashion bag generation.- Gender Recognition
from 3D Shape Parameters.- Recognition of complex gestures for real-time
emoji assignment.- Generating High-Resolution 3D Faces using VQ-VAE-2 with
PixelSNAIL Networks.- Artificial Intelligence for Digital Humanities -
AI4DH.- The Morra Game: Developing an Automatic Gesture Recognition System to
Interface Human and Artificial Players.- Integration of point clouds from
360° videos and deep learning techniques for rapid documentation and
classification in historical city centers.- Towards the creation of
AI-powered queries using Transfer Learning on NLP model - the THESPIAN-NER
experience.- Detecting Fake News in MANET Messaging Using an Ensemble Based
Computational Social System.- PergaNet: a deep learning framework for
automatic appearance-based analysis of ancient parchment
collections.- Transformers with YOLO network for damage detection in
limestone wall images.- Medical Transformers - MEDXF.- On the Effectiveness
of 3DVision Transformers for the Prediction of Prostate Cancer
Aggressiveness.- Exploring a Transformer approach for Pigment Signs
segmentation in Fundus Images.- Transformer based GANs for Medical Image
Segmentationes.- Learning in Precision Livestock Farming - LPLF.- Suggestions
for the environmental sustainability from Precision Livestock Farming and
replacement in dairy cows.- Intelligent Video Surveillance For Animal
Behavior Monitoring.- Quick Quality Analysis On Cereals, Pulses and
Grains Using Artificial Intelligence.- Label a Herd in Minutes: Individual
Holstein-Friesian Cattle Identification.- Workshop on Small-Drone
Surveillance, Detection and Counteraction Techniques - WOSDETC.- DroBoost: An
Intelligent Score and Model Boosting Method for Drone
Detection.- Drone-vs-Bird Detection Challenge at ICIAP 2021.- An Image-based
Classification Module for Data Fusion Anti-Drone System.- Evaluation of Fully
Convolutional One-Stage Object Detection for Drone Detection.- Drone
Surveillance using Detection, Tracking and Classification
Techniques.- Medical Imaging Analysis For Covid-19 - MIACOVID
2022.- ILC-Unet++ for Covid-19 Infection Segmentation.- Revitalizing
regression tasks through modern training procedures: applications in medical
image analysis for Covid-19 infection percentage estimation.- Res-Dense Net
for 3D Covid Chest CT-scan classification.- Deep Regression by Feature
Regularization for COVID-19 Severity Prediction.- Mixup Data Augmentation for
COVID-19 Infection Percentage Estimation.- Swin Transformer for COVID-19
Infection Percentage Estimation from CT-Scans.- COVID-19 Infection Percentage
Prediction via Boosted Hierarchical Vision Transformer.- Novel Benchmarks and
Approaches for Real-World Continual Learning - CL4REAL.- Catastrophic
Forgetting in Continual Concept Bottleneck Models.- Practical Recommendations
for Replay-based Continual Learning Methods.