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Using trajectory data to query and analyze contact events is an emerging method for disease prevention and control. Existing contact event query processings only focus on single-source contact events (one-to-one), overlooking the more realistic ...

With the expansion of cloud computing, its effectiveness in handling large datasets, particularly trajectory, has become evident. However, due to the sensitivity of trajectory data, sharing it in plaintext could lead to privacy risks. It is a ...

In this paper, a new hybrid numerical approach is presented that couples “ghost cell” based immersed boundary (IB) method with the finite volume lattice Boltzmann method (FVLBM). In the implementation process, the grid cells are classified into ...

The growth of Location-Based Services (LBSs) has been made possible by the widespread use of GPS-enabled devices. Some important LBSs require the ability to quickly process moving spatial-keyword queries over moving objects, such as ...

With the emergence of GPS-equipped portable devices and Online Social Networks, geo-tagged textual data have been highly produced on a continuous basis, which can provide important information for various applications, such as marketing, disaster ...

Online social media has lots of moving object information. Extracting movement information is a challenging work. It suffers from spatio-temporal information extraction, vague time, and vague location. Previous information extraction methods ...

Prolonged fluoroscopy procedures may involve high patient radiation doses, and a low-dose fluoroscopy protocol has been proven to be effective in reducing doses in an interventional suite. However, the low-dose protocol-caused noise degrades ...

Storing, querying, predicting, and interpolating trajectories of moving objects is a topic which the database community has studied for decades. We study a new variant of this problem in this article: We deal with a set of moving ...

• Cells can be modeled as moving objects without identity that move under uncertainty.

Big moving objects arise as a novel class of big data objects in emerging environments. Here, the main problems are the following: (i) tracking, which represents the baseline operation for a plethora of higher-level functionalities, such as ...

Foreground segmentation of moving objects is widely used in different computer vision applications; however, existing deep learning-based methods generally suffer from overall degraded F-measure performance. The two main sources that ...

• A novel multi-scale region and edge fusion network (REFNet).
• REFNet detects the ...

In this paper we propose and study the problem of k-Collective influential facility placement over moving object. Specifically, given a set of candidate locations, a group of moving objects, each of which is associated with a collection of ...$\mathrm{}\frac{\mathrm{}}{}$

Background subtraction, although being a very well-established field, has required significant research efforts to tackle unsolved challenges and to accelerate the progress toward generalized moving object detection framework for real-time ...

The popularity of mobile terminals has generated massive moving objects with spatio-textual characteristics. A top-k spatial keyword query over moving objects (Top-k SKM query) returns the top-k objects, moving or static, based on a ranking ...

Group pattern mining based on spatio-temporal trajectories have gained significant attentions due to the prevalence of location-acquisition devices and tracking technologies. Representative work includes convoy, swarm, travelling companion, ...$$$$

This paper presents a trajectory planning framework to deal with the highly dynamic environments for on-road driving. The trajectory optimization problem with parameterized curvature control was formulated to reach the goal state with the vehicle ...

Cooperative Intelligent Transport Network is one of the most challenging issue in networking and computer science. In this area, huge amount of data are exchanged. Smart analysis of this collected data could be achieved for many purposes: traffic ...

A group event such as human and traffic congestion can be very roughly divided into three stages: converging stage before congestion, gathered stage when congestion happens, and dispersing stage that congestion disappears. It is of great interest ...

Background subtraction is an essential step in the video monitoring process. Several models have been proposed to differentiate background pixels from foreground pixels. However, most of these methods fail to distinguish them in highly dynamic ...

Overlapping costs increase due to a difference in speed of moving objects, ranging from low-speed submarines to high-speed airplanes in the time-parameterized spatio-temporal index. This paper proposes a new method for promoting fast ...

• The hybrid tree index structures uses a new velocity-based dynamic leveling policy that can store speed outlier objects on a non-leaf node in the tree.

Increasing availability of location-based applications and sensor devices have necessitated quicker analysis of moving object data streams in order to identify patterns. The efficiency of currently available algorithms used in pattern detection is ...