21   Artículos

 
en línea
Vivian W. H. Wong and Kincho H. Law    
Crowd congestion is one of the main causes of modern public safety issues such as stampedes. Conventional crowd congestion monitoring using closed-circuit television (CCTV) video surveillance relies on manual observation, which is tedious and often error... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Hossein Shahverdi, Mohammad Nabati, Parisa Fard Moshiri, Reza Asvadi and Seyed Ali Ghorashi    
Human Activity Recognition (HAR) has been a popular area of research in the Internet of Things (IoT) and Human?Computer Interaction (HCI) over the past decade. The objective of this field is to detect human activities through numeric or visual representa... ver más
Revista: Information    Formato: Electrónico

 
en línea
Marta Samulowska, Szymon Chmielewski, Edwin Raczko, Michal Lupa, Dorota Myszkowska and Bogdan Zagajewski    
Crowdsourcing is one of the spatial data sources, but due to its unstructured form, the quality of noisy crowd judgments is a challenge. In this study, we address the problem of detecting and removing crowdsourced data bias as a prerequisite for better-q... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Emad Felemban, Adil A. Sheikh and Atif Naseer    
Flying Adhoc Network (FANET) is a particular type of Mobile Adhoc Network (MANET) that consists of flying drones or unmanned aerial vehicles (UAVs). MANETs are especially useful in rural and remote areas, where the lack of public networks necessitates da... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Alem Fitwi, Yu Chen, Han Sun and Robert Harrod    
For public safety and physical security, currently more than a billion closed-circuit television (CCTV) cameras are in use around the world. Proliferation of artificial intelligence (AI) and machine/deep learning (M/DL) technologies have gained significa... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Rafik Gouiaa, Moulay A. Akhloufi and Mozhdeh Shahbazi    
Automatically estimating the number of people in unconstrained scenes is a crucial yet challenging task in different real-world applications, including video surveillance, public safety, urban planning, and traffic monitoring. In addition, methods develo... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Mais Haj Qasem,Wesam AlMobaideen     Pág. pp. 210 - 225
Smart city is a strategy of supporting new way of living using data that are collected from different types of electronic devices, analyzed and utilized to enable efficient resource usability and service optimization. Applications of various nature are e... ver más

 
en línea
Stanislav Lykov, Yasuo Asakura, Shinya Hanaoka     Pág. 56 - 64
In this paper the possibility of utilization of wireless sensor network in application to human sensing problem is examined. With the emphasis on crowd dynamics monitoring, the most critical issues regarding this application are analyzed. Based on limita... ver más
Revista: Transportation Research Procedia    Formato: Electrónico

 
en línea
Bachar Kabalan, Fabien Leurent, Zoi Christoforou, Marin Dubroca-Voisin     Pág. 712 - 719
The significant growth of pedestrian flows through stations of mass public transport has turned the two issues of passenger comfort and safety into major concerns for railway station operators. Managing these issues is a challenging task due to the compl... ver más
Revista: Transportation Research Procedia    Formato: Electrónico

 
en línea
Francesco Carrino, Elena Mugellini, Omar Abou Khaled, Nabil Ouerhani and Juergen Ehrensberger    
Internet of Things (IoT) seems a viable way to enable the Smart Cities of the future. iNUIT (Internet of Things for Urban Innovation) is a multi-year research program that aims to create an ecosystem that exploits the variety of data coming from multiple... ver más
Revista: Future Internet    Formato: Electrónico

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