… trajectories of these entities, we define and model a structure … We present the first complete
study of trajectory group evolve… Secondly, we consider the grouping structure at continuous …

… trajectory grouping structure. Significantly extending the work of Buchin et al. [WADS 2013]
into a realistic setting, we show that the trajectory grouping structure … be in one group. In case …

… Unconditional models estimate two key features of the population distribution of trajectory
parameters – their mean and covariance structure. The former defines average growth within …

… trajectories from a trajectory database. Based on this partition-and-group framework, we
develop a trajectory … Our algorithm consists of two phases: partitioning and grouping. For the first …

… For those conducting group-based analyses in a structural equation modeling framework,
we also recommend a review of reporting guidelines and principles summarized by McDonald …

… two trajectories which likely belong to the same tubular structure. … trajectories, especially
when extracting long structures. In … gap between two neighbouring trajectories using a curvature-…

… Existing trajectory clustering methods can be grouped into three categories: unsupervised, …
Furthermore, DNN keeps the structural relationships between trajectories in [128], and mines …

… At the final stage of the grouping phase, a model called a representative trajectory, which is
… , TraClass uses a multi-resolution grid structure, which quantizes the domain space into a …

… As such the grouping structure is well suited for grouping entities moving together, but not …
form a group in the grouping structure, even though individual commuters in this group may be …

… instances with latent class variables; iii) We design a graph kernel from spatio-temporal
structure … (2) where gia is the mean group position for trajectory group a for video i, similarly for …