14 Result(s)
within
Claudio Piciarelli
English
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Article
U-DIADS-Bib: a full and few-shot pixel-precise dataset for document layout analysis of ancient manuscripts
Document Layout Analysis, which is the task of identifying different semantic regions inside of a document page, is a subject of great interest for both computer scientists and humanities scholars as it repres...
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Chapter and Conference Paper
Is ImageNet Always the Best Option? An Overview on Transfer Learning Strategies for Document Layout Analysis
Semantic segmentation models have shown impressive performance in the context of historical document layout analysis, but their effectiveness is reliant on having access to a large number of high-quality annot...
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Chapter and Conference Paper
Bringing Attention to Image Anomaly Detection
Detecting anomalies in images is a task with several relevant real-world applications, e.g. industrial inspection. Building on the existing RIAD (Reconstruction by Inpainting for visual Anomaly Detection) fram...
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Article
Automatic estimation of optimal UAV flight parameters for real-time wide areas monitoring
In the last few years, small-scale Unmanned Aerial Vehicles (UAVs) have been used in many video-based monitoring applications, such as search and rescue (SAR) operations, border control, precision agriculture,...
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Chapter and Conference Paper
Image Anomaly Detection by Aggregating Deep Pyramidal Representations
Anomaly detection consists in identifying, within a dataset, those samples that significantly differ from the majority of the data, representing the normal class. It has many practical applications, e.g. rangi...
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Chapter and Conference Paper
Image Anomaly Detection with Capsule Networks and Imbalanced Datasets
Image anomaly detection consists in finding images with anomalous, unusual patterns with respect to a set of normal data
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Chapter and Conference Paper
Reconfiguration of PTZ Camera Network with Minimum Resolution
Optimal reconfiguration of Pan–Tilt–Zoom (PTZ) cameras is a challenging task to optimize visual coverage in complex indoor as well as outdoor environments. The proposed work is based on interior-point algorith...
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Chapter and Conference Paper
Real-Time Incremental and Geo-Referenced Mosaicking by Small-Scale UAVs
In the last decade, the use of small-scale Unmanned Aerial Vehicles (UAVs) is increased considerably to support a wide range of tasks, such as vehicle tracking, object recognition, and land monitoring. A prere...
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Chapter and Conference Paper
Selection of Temporal Features for Event Detection in Smart Security
Scene understanding in smart surveillance and security is one of the major fields of investigation in computer vision research and industry. The ability of a system to automatically analyze and learn the event...
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Chapter and Conference Paper
Outdoor Environment Monitoring with Unmanned Aerial Vehicles
This work addresses the problem of video surveillance of outdoor environments with unmanned aerial vehicles (UAV). Specifically it proposes a two-step approach, with an initial offline stage in which a mosaic ...
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Chapter and Conference Paper
Pre-emptive Camera Activation for Video-Surveillance HCI
Video analytics has become a very important topic in computer vision. Many applications and different approaches have been proposed in different fields. This paper introduces a new information visualisation te...
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Chapter and Conference Paper
Automatic Video Surveillance of Harbour Structures
Since 9/11 naval structures and facilities have been recognized as potential critical targets of terrorist acts. Consequently, harbour protection has become a debated topic due to the difficulties inherent in ...
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Chapter and Conference Paper
Stereo Localization Using Dual PTZ Cameras
In this paper, we present a cooperative stereo system based on two pant-tilt-zoom (PTZ) cameras that can localize a moving target in a complex environment. Given an approximate target position that can be esti...
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Chapter and Conference Paper
Shadow Removal in Outdoor Video Sequences by Automatic Thresholding of Division Images
Several video-based applications, such as video surveillance, traffic monitoring, video annotation, etc., rely on the correct detection and tracking of moving objects within the observed scene. Even though sev...
