Andrea Pennisi

Andrea Pennisi

PhD

About

23
Publications
15,339
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
421
Citations
Additional affiliations
September 2020 - present
Allianz
Position
  • Analyst
Description
  • Automatic Solutions for damage assessment, satellite image analysis, dash cam monitoring, text analysis.
January 2020 - August 2020
Storelift
Position
  • Head of Department
Description
  • Automatic solutions for retails using multiple cameras and multiple sensors with techniques of computer vision, machine learning, and deep learning.
January 2018 - December 2019
MyCujoo
Position
  • Engineer
Description
  • Computer Vision, Machine and Deep Learning techniques for stitching multiple cameras, automatic camera panning, player detection and tracking, ball detection and tracking, static estimation and highlight extraction.
Education
October 2011 - October 2014
Sapienza University of Rome
Field of study
  • Engineering in Computer Science

Publications

Publications (23)
Article
Melanoma is the deadliest form of skin cancer. Early diagnosis of malignant lesions is crucial for reducing mortality. The use of deep learning techniques on dermoscopic images can help in keeping track of the change over time in the appearance of the lesion, which is an important factor for detecting malignant lesions. In this paper, we present a...
Article
Full-text available
Oral squamous cell carcinoma is the most common oral cancer. In this paper, we present a performance analysis of four different deep learning-based pixel-wise methods for lesion segmentation on oral carcinoma images. Two diverse image datasets, one for training and another one for testing, are used to generate and evaluate the models used for segme...
Article
Full-text available
Multi-Object Tracking (MOT) in airborne videos is a challenging problem due to the uncertain airborne vehicle motion, vibrations of the mounted camera, unreliable detections, changes of size, appearance and motion of the moving objects and occlusions caused by the interaction between moving and static objects in the scene. To deal with these proble...
Preprint
Full-text available
Multi-object tracking (MOT) in airborne videos is a challenging problem due to the uncertain airborne vehicle motion, vibrations of the mounted camera, unreliable detections, size, appearance and motion of the moving objects as well as occlusions due to the interaction between the moving objects and with other static objects in the scene.To deal wi...
Conference Paper
Full-text available
Melanoma is one of the deadliest form of cancer with an increasing incidence rate. The development of automatic diagnostic tools for the early detection of skin cancer lesions in dermoscopic images can help to reduce melanoma-induced mortality. In this paper, we present an automatic method for skin lesion image segmentation based on a deep learning...
Article
Full-text available
Background subtraction is a widely used technique for detecting moving objects in image sequences. Very often background subtraction approaches assume the availability of one or more clear (i.e., without foreground objects) frames at the beginning of the sequence in input. However, this assumption is not always true, especially when dealing with dy...
Article
Full-text available
Automatic surveillance systems for the maritime domain are becoming more and more important due to a constant increase of naval traffic and to the simultaneous reduction of crews on decks. However, available technology still provides only a limited support to this kind of applications. In this paper, a modular system for intelligent maritime survei...
Article
Full-text available
Developing automatic diagnostic tools for the early detection of skin cancer lesions in dermoscopic images can help to reduce melanoma-induced mortality. Image segmentation is a key step in the automated skin lesion diagnosis pipeline. In this paper, a fast and fully-automatic algorithm for skin lesion segmentation in dermoscopic images is presente...
Article
Full-text available
Automatically detecting events in crowded scenes is a challenging task in Computer Vision. A number of offline approaches have been proposed for solving the problem of crowd behavior detection, however the offline assumption limits their application in real-world video surveillance systems. In this paper, we propose an online and real-time method f...
Conference Paper
Full-text available
Background subtraction is a widely used technique for detecting moving objects in image sequences. Very often background subtraction approaches assume the availability of one or more clear frames (i.e., without foreground objects) at the beginning of the image sequence in input. This strong assumption is not always correct, especially when dealing...
Article
Full-text available
Automatic surveillance of public areas, such as airports, train stations, and shopping malls, requires the capacity of detecting and recognizing possible abnormal situations in populated environments. In this book chapter, an architecture for intelligent surveillance in indoor public spaces, based on an integration of interactive and non-interactiv...
Conference Paper
Full-text available
Monitoring of populated indoor environments is crucial for the surveillance of public spaces like airports or embassies, where the behavior of people may be relevant in order to determine abnormal situations. In this paper, a surveillance system based on an integration of interactive and non-interactive heterogeneous sensors is described. As a diff...
Article
Full-text available
Maritime environment represents a challenging scenario for automatic video surveillance due to the complexity of the observed scene: waves on the water surface, boat wakes, and weather issues contribute to generate a highly dynamic background. Moreover, an appropriate background model has to deal with gradual and sudden illumination changes, camera...
Conference Paper
Full-text available
In this paper an open source software for monitoring hu-manoid soccer robot behaviours is presented. The software is part of an easy to set up system, conceived for registering ground truth data that can be used for evaluating and testing methods such as robot co-ordination and localization. The hardware architecture of the system is designed for u...
Article
Full-text available
Camera calibration is a necessary step in order to develop applications that need to establish a relationship between image pixels and real world points. The goal of camera calibration is to estimate the extrinsic and intrinsic camera parameters. Usually, for non-zooming cameras, the calibration is carried out by using a grid pattern of known dimen...
Conference Paper
Full-text available
Today's robots are able to perform more and more complex tasks, which usually require a high degree of interaction with the environment they have to operate in. As a consequence, robotic systems should have a deep and specific knowledge of their workspaces, which goes far beyond a simple metric representation a robotic system can build up through S...
Conference Paper
Mobility in large touristic cities (such as Rome and Venice), where needs of citizen and tourists are different(and sometimes even conflicting), is a very relevant problem and infomobility is thus increasingly important. Since active technologies, requiring the passengers to wear some devices(e.g., RFID devices) are not commonly available and canno...

Network

Cited By

Projects

Project (1)