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Konstantinos Kotis and Andreas Soularidis
Unmanned aerial vehicles (UAVs), also known as drones, are important for several application domains, such as the military, agriculture, cultural heritage documentation, surveillance, and the delivery of goods/products/services. A drone?s trajectory can ...
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Iori Sasaki, Masatoshi Arikawa, Min Lu and Ryo Sato
This paper proposes a model-less feedback system driven by tourist tracking data that are automatically collected through mobile applications to visualize the gap between geomedia recommendations and the actual routes selected by tourists. High-frequency...
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Damião Ribeiro de Almeida, Cláudio de Souza Baptista and Fabio Gomes de Andrade
The use of location-based sensors has increased exponentially. Tracking moving objects has become increasingly common, consolidating a new field of research that focuses on trajectory data management. Such trajectories may be semantically enriched using ...
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Gianfranco Lombardo, Michele Tomaiuolo, Monica Mordonini, Gaia Codeluppi and Agostino Poggi
In the knowledge discovery field of the Big Data domain the analysis of geographic positioning and mobility information plays a key role. At the same time, in the Natural Language Processing (NLP) domain pre-trained models such as BERT and word embedding...
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Junyi Cheng, Xianfeng Zhang, Xiao Chen, Miao Ren, Jie Huang and Peng Luo
Early detection of people?s suspicious behaviors can aid in the prevention of crimes and make the community safer. Existing methods that are focused on identifying abnormal behaviors from video surveillance that are based on computer vision, which are mo...
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Gaocai Li, Mingzheng Liu, Xinyu Zhang, Chengbo Wang, Kee-hung Lai and Weihuachao Qian
Recognition and understanding of ship motion patterns have excellent application value for ship navigation and maritime supervision, i.e., route planning and maritime risk assessment. This paper proposes a semantic recognition method for ship motion patt...
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Yi Liu, Chengyu Yin, Jingwei Li, Fang Wang and Senzhang Wang
Accurately predicting user?item interactions is critically important in many real applications, including recommender systems and user behavior analysis in social networks. One major drawback of existing studies is that they generally directly analyze th...
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Jarbas Nunes Vidal-Filho, Valéria Cesário Times, Jugurta Lisboa-Filho and Chiara Renso
The term Semantic Trajectories of Moving Objects (STMO) corresponds to a sequence of spatial-temporal points with associated semantic information (for example, annotations about locations visited by the user or types of transportation used). However, the...
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Jin Zhu, Dayu Cheng, Weiwei Zhang, Ci Song, Jie Chen and Tao Pei
People spend more than 80% of their time in indoor spaces, such as shopping malls and office buildings. Indoor trajectories collected by indoor positioning devices, such as WiFi and Bluetooth devices, can reflect human movement behaviors in indoor spaces...
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Sotiris Angelis, Konstantinos Kotis and Dimitris Spiliotopoulos
Semantic trajectory analytics and personalised recommender systems that enhance user experience are modern research topics that are increasingly getting attention. Semantic trajectories can efficiently model human movement for further analysis and patter...
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