This paper comprehensively surveys the development of trajectory clustering. Considering
the critical role of trajectory data mining in modern intelligent systems for surveillance …

In this paper, we propose a simple but effective image prior-dark channel prior to remove
haze from a single input image. The dark channel prior is a kind of statistics of outdoor haze …

This article comprehensively surveys the development of trajectory data classification.
Considering the critical role of trajectory data classification in modern intelligent systems for …

Temporal segmentation of human motion into plausible motion primitives is central to
understanding and building computational models of human motion. Several issues …

Understanding, navigating, and performing goal-oriented actions in Mixed Reality (MR)
environments is a challenging task and requires adequate information conveyance about …

In this paper we address the problem of segmenting a trajectory based on spatiotemporal
criteria. We require that each segment is homogeneous in the sense that a set of …

This article describes a novel approach for finding similar trajectories, using trajectory
segmentation based on movement parameters (MPs) such as speed, acceleration, or …

Outlier detection acts as one of the most important analysis tasks for trajectory stream. In
stream scenarios, such properties as unlimitedness, time-varying evolutionary, sparsity, and …

Abstract Knowledge discovery in Trajectory Databases (TD) is an emerging field which has
recently gained great interest. On the other hand, the inherent presence of uncertainty in TD …

Moving Object Databases (MOD), although ubiquitous, still call for methods that will be able
to understand, search, analyze, and browse their spatiotemporal content. In this paper, we …