Steven Verstockt

Steven Verstockt
Ghent University | UGhent · Department of Electronics and Information Systems

About

120
Publications
54,865
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
2,008
Citations
Citations since 2017
43 Research Items
1679 Citations
20172018201920202021202220230100200300
20172018201920202021202220230100200300
20172018201920202021202220230100200300
20172018201920202021202220230100200300

Publications

Publications (120)
Article
Full-text available
Newspapers contain a wealth of historical information in the form of articles and illustrations. Libraries and cultural heritage institutions have been digitizing their collections for decades to enable web-based access to and retrieval of information. A number of challenges arise when dealing with digitized collections, such as those of KBR, the R...
Article
In Flanders (Belgium), one in three journeys between home and school by adolescents (12–18 years) is made by bike. Sadly, most cycling accidents also occur in this age group. Although research and cycling policies advocate for safer school environments, their focus is often limited to a restricted area near the school gate. Not only school environm...
Article
Full-text available
Road cycling is a cycling discipline in which riders ride on public roads. Traffic calming measures are made to make public roads safer for everyday usage for all its users. However, these measures are not always yielding a safer cycling racecourse. In this paper we present a methodology that inspects the safety of roads tailored to road bicycle ra...
Article
Full-text available
In recent years, many scientific institutions have digitized their collections, which often include a large variety of topographic raster maps. These raster maps provide accurate (historical) geographical information but cannot be integrated directly into a geographical information system (GIS) due to a lack of metadata. Additionally, the text labe...
Article
Full-text available
Objectives: The aim of this study was to investigate the association between SARS-CoV-2 infection and muscle strain injury in elite athletes. Methods: A prospective cohort study in three Belgian professional male football teams was performed during the first half of the 2020-2021 season (June 2020-January 2021). Injury data were collected using...
Chapter
Research has not found its way yet to the track cycling madison discipline. Currently, training files are collected from cycling computers, after which the data is interpreted in a mainly subjective manner, based on the domain knowledge of a coach. The goal of this paper is twofold. Starting with the automated detection of madison handslings from c...
Article
Full-text available
Video-based trajectory analysis might be rather well discussed in sports, such as soccer or basketball, but in cycling, this is far less common. In this paper, a video processing pipeline to extract riding lines in cyclocross races is presented. The pipeline consists of a stepwise analysis process to extract riding behavior from a region (i.e., the...
Conference Paper
Background COVID-19 substantially impacts cardiorespiratory functioning, potentially affecting physical performance of elite athletes. Objective To investigate the association between COVID-19 and physical performance in elite male football players. Design A prospective cohort study during the first half of the 2020–2021 season. Setting Belgian...
Conference Paper
Background Because of the high injury rate currently seen in soccer players and the exceptional pandemic circumstances, the question arises to what extent this reported increase in injury incidence is associated with COVID-19. Objectives The aim of this study was to investigate the association between COVID-19 and muscle strain injury occurrence i...
Article
Full-text available
Historically, herbarium specimens have provided users with documented occurrences of plants in specific locations over time. Herbarium collections have therefore been the basis of systematic botany for centuries (Younis et al. 2020). According to the latest summary report based on the data from Index Herbariorum, there are around 3400 active herbar...
Article
Rephotography is the process of recapturing the photograph of a location from the same perspective in which it was captured earlier. A rephotographed image is the best presentation to visualize and study the social changes of a location over time. Traditionally, only expert artists and photographers are capable of generating the rephotograph of any...
Article
Full-text available
This study aimed to identify the strongest predictive variables of winning and losing in the highest Belgian soccer division. A predictive machine learning model based on a broad range of variables (n = 100) was constructed, using a dataset consisting of 576 games. To avoid multicollinearity and reduce dimensionality, Variance Inflation Factor (thr...
Article
Full-text available
Measuring wildland fire behaviour is essential for fire science and fire management. Aerial thermal infrared imaging provides outstanding opportunities to acquire such information remotely. Variables such as fire rate of spread, fire radiative power and fire line intensity may be measured explicitly both in time and space, providing the necessary d...
Article
Full-text available
The corner fire characteristics with two inert walls are compared against those with one or two combustible corner walls through a set of standard Single Burning Item (SBI) tests. The study examines how the corner fire behavior is affected by flame spread over one or two walls. In the case of flame spread over one corner wall, the inert side is a C...
Article
Full-text available
Confined space fires are common emergencies in our society. Enclosure size, ventilation, or type and quantity of fuel involved are factors that determine the fire evolution in these situations. In some cases, favourable conditions may give rise to a flashover phenomenon. However, The difficulty of handling this complicated emergency through fire se...
Article
SmarterROUTES contributes to personalised routing and navigation by data-driven route ranking and an environmentally aware road scene complexity-estimation mechanism. Traditional routing algorithms provide the fastest, shortest, or most ecological route by calculating the lowest-cost path from A to B using an underlying network of weighted connecti...
Article
Full-text available
Aerial Thermal Infrared (TIR) imagery has demonstrated tremendous potential to monitor active forest fires and acquire detailed information about fire behavior. However, aerial video is usually unstable and requires inter-frame registration before further processing. Measurement of image misalignment is an essential operation for video stabilizatio...
Article
Full-text available
Purpose: To assess injury risk in elite-level youth football players based on anthropometric, motor coordination and physical performance measures with a machine learning approach. Methods: A total of 734 players in the U10 to U15 age categories (mean age: 11.7 +/- 1.7 years) from seven Belgian youth academies were prospectively followed during...
Conference Paper
Full-text available
WordCrowd is a dynamic location-based service that visualizes and analyzes geolocated social media data. By spatially clustering the data, areas of interest and their descriptions can be extracted and compared on different geographical scales. When walking through the city, the application visualizes the nearest areas of interest and presents these...
Article
Full-text available
SmarterRoutes aims to improve navigational services and make them more dynamic and personalised by data-driven and environmentally-aware road scene complexity estimation. SmarterRoutes divides complexity into two subtypes: perceived and descriptive complexity. In the SmarterRoutes architecture, the overall road scene complexity is indicated by comb...
Conference Paper
Full-text available
Traditional broadcasters of cycling races are experiencing hard times as the numbers of spectators are decreasing each year. Other ways of reporting are needed to keep the viewer interested. In this paper, two possible solutions are proposed that have been evaluated during the Grand Depart of the Tour de France 2019 in Brussels. The first innovatio...
Conference Paper
Full-text available
The number of cyclists is growing rapidly, for commuting but also as a sport. With this growth, there has been an increasing interest in cycling position. Trainers, athletes and bike vendors acknowledged this and started to perform bike fits. As these experts have different backgrounds and varying levels of expertise, it was hypothesised that this...
Article
Full-text available
This work is on development within the framework of the project Eureca: EUropean Region Enrichment in City Archives and collections of the University of Ghent (IDLab, CartoGIS), the Technical University of Vienna (Research Group Cartography) and several city and state archives. Eureca focuses on revealing traces (i.e. origins or influences) of Euro...
Conference Paper
Full-text available
The beginning of the cycling season is undoubtedly a hectic period for bikefitters. Some riders change teams, some teams obtain different sponsors from last year. These seemingly little changes oblige cyclists to change something about their cycling equipment and that can have a major impact on their positioning. Williams et al [1] already advised...
Poster
Full-text available
As cycling is gaining popularity rapidly worldwide, research in this sport on pro cyclists, as well as amateur cyclists, is very important. Your position on the bike is crucial to ride injury free and in an efficient manner. A lot of people saw the potential and started to conduct bike fits. These are specific services offered by a wide range of pr...
Conference Paper
The interdisciplinary EURECA project follows the trends towards location based services and personalized/contextualized content, and investigates them in the context of cultural heritage collections of European city archives. EURECA focuses on finding traces of European regions that have shaped the cities in which we live today and develops tools t...
Poster
Full-text available
In recent years, the amateur cycling community is looking towards the highest-cost segment of cycling gear to improve their performance. A lot of investments are done in aero wheels and frames, however there are numerous other things to optimize and positioning on the bike is often neglected within this segment of amateur cyclists. The total resist...
Chapter
The majority of digital photo collections at museums, archives and libraries are facing (meta) data problems that impact their interpretation, exploration and exploitation. In most cases, links between collection items are only supported at the highest level, which limits the item’s searchability and makes it difficult to generate scientific added...
Conference Paper
Full-text available
During bike fitting sessions, the optimal cyclist' position is determined. Finding this 'optimal' cycling position is often a time-consuming and labor-intensive process, i.e., a standard bike fitting procedure takes at least two hours when done by an expert bike fitter. The best position is a combination of comfort, performance and injury preventio...
Article
Full-text available
Having explained the characteristics of a corner fire in the configuration of Single Burning Item (SBI) test in Part I [1], the results of three flame spread experiments conducted with Medium Density Fiberboard (MDF) panels are discussed. The fire growth, in terms of flame heights and spread, is examined from two different angles visually and throu...
Article
Full-text available
Corner fires are known to spread more intensely in comparison with single wall fires. In view of the challenges associated with prediction of such fire behavior, the fire growth in a corner configuration of Medium Density Fiberboard (MDF) panels is investigated to provide a set of experimental data, performing Single Burning Item (SBI) tests. First...
Article
Full-text available
Spott is an innovative second screen mobile multimedia application which offers viewers relevant information on objects (e.g., clothing, furniture, food) they see and like on their television screens. The application enables interaction between TV audiences and brands, so producers and advertisers can offer potential consumers tailored promotions,...
Conference Paper
Full-text available
Despite the broad application of the handheld thermal imaging cameras in firefighting, its usage is mostly limited to subjective interpretation by the person carrying the device. As remedies to overcome this limitation, object localization and classification mechanisms could assist the fireground understanding and help with the automated localizati...
Article
Full-text available
This paper presents an outline for improved localization and situational awareness in fire emergency situations based on semantic technology and computer vision techniques. The novelty of our methodology lies in the semantic linking of video object recognition results from visual and thermal cameras with Building Information Models (BIM). The curre...
Conference Paper
Pixel-domain techniques are too computationally complex for automatic object tracking in ultra-high resolution interactive panoramic video. Therefore, this paper proposes a fast object detection method in the compressed domain for High Efficiency Video Coding. Evaluation shows promising results for optimal object sizes.
Chapter
In this chapter, a pyroelectric infrared (PIR) sensor-based flame detection system is described using a Markovian decision algorithm. The chapter is based on the paper in [ 1 ]. A differential PIR sensor is only sensitive to sudden temperature variations within its viewing range and it produces a time-varying signal. The wavelet transform of the PI...
Chapter
To avoid large-scale fire and smoke damage, timely and accurate fire detection is essential. The sooner the fire is detected, the better the chances are for survival. However, not only is early detection crucial, but it is also important to have a clear understanding of the fire development and the location. Where did the fire start? What is the si...
Article
This paper presents the general architecture of a multi-sensor geographic information system which allows for the effective use of sensor data and geographic information in fire incident management and fire development analysis. The proposed platform allows the generation of real-time heatmaps that show the space–time distribution of fire/smoke ris...
Conference Paper
In this paper, we propose a methodology for spatio-temporal wardrobe generation for video content. The main goal is to suggest relevant matches between clothes worn by actors and images originating from a set of e-commerce clothing sites. The semi-automatic generation of fine-grained spatial metadata for each video sequence is based on shot detecti...
Conference Paper
Full-text available
This paper presents a multi-sensor fire monitoring platform (called fireGIS) for smoke behaviour analysis. The platform allows the generation of real-time heatmaps and graphs that show the space-time distribution of smoke risk levels and smoke information across an area of concern. These outcomes are used to assist the decision makers in taking act...
Article
Routing and navigation services for leisure activities are conditioned by special needs and trade-offs. The advent of online communities and large crowdsourced datasets offers opportunities to improve the adoption of a user’s perspective in these suggested paths. This paper focuses on achieving two goals. First, the presented methodology analyses a...
Article
Spectral pixel classification is one of the principal techniques used in hyperspectral image (HSI) analysis. In this article, we propose an unsupervised feature learning method for classification of hyperspectral images. The proposed method learns a dictionary of sub-feature basis representations from the spectral domain, which allows effective use...
Book
This book describes the signal, image and video processing methods and techniques for fire detection and provides a thorough and practical overview of this important subject, as a number of new methods are emerging. This book will serve as a reference for signal processing and computer vision, focusing on fire detection and methods for volume senso...
Chapter
In the last decades, huge improvements in the computational power of computers and decreasing cost of imaging sensors have made it possible to use video-based fire detection techniques in real-time applications. Most video fire detection algorithms use visible range cameras because they are much cheaper than infrared (thermal) and time-of-flight ca...
Article
The paper presents an application of video fire analysis (VFA) to a cable tray fire scenario, a scenario of interest to nuclear power plants where cables constitute a substantial part of the combustible load. Five horizontal trays, each 2.4 m long and 0.45 m wide, are positioned with a 0.3 m spacing (in the vertical direction) and set-up against an...
Conference Paper
Hyperspectral image (HSI) classification is one of the most widely used methods for scene analysis from hyperspectral imagery. In the past, many different engineered features have been proposed for the HSI classification problem. In this paper, however, we propose a feature learning approach for hyperspectral image classification based on convoluti...
Conference Paper
In this paper we describe a novel approach for map-based linking of users with content (and vice versa) based on their geographic profiles. The proposed technique facilitates hyperlocal content recommendation targeted to the user’s geographic footprint. The generation of the geographic user profiles (GUP) is based on user-logged activity analysis....
Article
A global analysis is presented of a series of four multi-compartment full-scale fire tests carried out in an apartment located in a high-rise building (called the 'Rabot' tower in the city of Ghent, Belgium) in 2012. The data set, available at http://multimedialab.elis.ugent.be/rabot2012/, is called 'Rabot2012'. These tests are believed to provide...
Conference Paper
Full-text available
This paper describes the design process of the LIBRARINTH interactive game, a demand-driven project based on the library sector input. The main goal of the Marble Maze-like game is to introduce new library services and events in a more fun, entertaining and explorative way. The game should facilitate the library in informing its public that it is i...
Conference Paper
Full-text available
This paper describes the design process of a bow aiming system, called ArcAid, which is an interactive archery assistant. The main goal of ArcAid is to introduce a way for beginner Robin Hoods to learn the art of archery to its fullest. In order to achieve this goal, our smartphone-based design focuses on a fun and interactive learning process that...
Article
Geolocalization of crowdsourced images is a challenging task that is getting increased attention nowadays due to the rise in popularity of geotagging and its applications. Among these applications, 3-D modeling from Internet photograph collections is a very active research topic with great promise and potential. In order to automize and optimize th...
Conference Paper
Research on emotion recognition of tweets focuses on feature engineering or algorithm design, while dataset labels are barely questioned. Datasets of tweets are often labelled manually or via crowdsourcing, which results in strong labels. These methods are time intensive and can be expensive. Alternatively, tweet hashtags can be used as free, inexp...
Conference Paper
This paper focuses on the automatic geo-annotation of road/terrain types by collaborative bike sensing. The proposed terrain classification system is mainly based on the analysis of volunteered geographic information gathered by cyclists. By using participatory accelerometer and GPS sensor data collected from the cyclists’ smartphones, which is enr...
Article
In this article, we describe a multimodal bike-sensing setup for automatic geoannotation of terrain types using Web-based data enrichment. The proposed classification system is mainly based on the analysis of volunteered geographic information gathered by cyclists. By using participatory accelerometer and global positioning system (GPS) sensor data...
Article
With the introduction of social networks and services, there has been an increase of information sharing on the Internet. The availability of Internet capable mobile devices equipped with various sensors has simplified and liberalized the generation of large amounts of multimedia data. Because of this, social media has played a critical role in dis...
Conference Paper
The ability to automatically determine the road type from sensor data is of great significance for automatic annotation of routes and autonomous navigation of robots and vehicles. In this paper, we present a novel algorithm for content-based road type classification from images. The proposed method learns discriminative features from training data...
Article
The potential of the concept of combining video data analysis and numerical simulations for numerical fire forecasting is illustrated for the case of a burning sofa in an ISO room. The fire is monitored by means of a video camera. The temporal evolution of smoke layer height, flame height and flame width are obtained from the real-time video data a...
Conference Paper
Full-text available
To inform citizens when they can use government services, governments publish the services' opening hours on their website. When opening hours would be published in a machine interpretable manner, software agents would be able to answer queries about when it is possible to contact a certain service. We introduce an ontology for describing opening h...
Conference Paper
In this paper, we describe a novel approach for the automatic generation of a GEO-MASHUP related to a user his outdoor activities. Each mashup consists of online geotagged media resources related to the geographic keypoints where the outdoor activity was performed. In order to detect candidate keypoints, we search low-activity locations based on th...
Article
In this paper, we describe a multi-modal bike sensing setup for automatic geo-annotation of terrain types using web-based data enrichment. The proposed road/terrain classification system is mainly based on the analysis of volunteered geographic information gathered by bikers. By using participatory accelerometer and GPS sensor data collected from c...
Conference Paper
Full-text available
Despite adding emotions to applications has proven to enhance the user experience, emotion recognition applications are still not widely available nor used. Within this paper, emotion recognition is done on Twitter tweets using six emotion classification algorithms that are compared on precision and timing. The paper shows that precision can be enh...