In this paper, we present an extension of Oracle, named STOC (SpatioTemporal Object Cartridge), to support spatio-temporal data management in a practical way. The extension is developed as a PL/SQL package and can be integrated into Oracle to offer spatio-temporal data types as well as spatio-temporal operations for various applications. Users are allowed to use standard SQL to access spatio-te...

Visual surveillance aims to stably detect a foreground object using continuous image acquired from fixed camera. Recent deep learning methods based on supervised show superior performance compared classical background subtraction algorithms. However, there is still room for improvement in static foreground, dynamic background, hard shadow, illumination changes, camouflage, etc. In addition, mos...

Many applications capture, or make use of, spatial data that changes over time. This requirement for effective and efficient spatio-temporal data management has given rise to a range of research activities relating to spatio-temporal data management. Such work has sought to understand, for example, the requirements of different categories of application, and the modelling facilities that are mo...

We consider spatio-temporal data and functional with spatial dependence, characterized by complicated missing patterns. propose a new method capable to efficiently handle these structures, including the case where are over large portions of domain. The is based on regression partial differential equation regularization. proposed model can accurately deal scattered domains irregular shapes estim...

Spatio-temporal patterns extracted from historical trajectories of moving objects reveal important knowledge about movement behavior for high quality LBS services. Existing approaches transform trajectories into sequences of location symbols and derive frequent subsequences by applying conventional sequential pattern mining algorithms. However, spatio-temporal correlations may be lost due to th...