Fuzzy Spatiotemporal Representation Modelfor Human Trajectory Classification
Lifeng Chen,
Canghong Jin,
Hao Wu
et al.
Abstract:Effective trajectory selection and classification are pivotal in user tracking systems utilizing spatiotemporal data collected from city sensors. However, the inherent limitations in sensor technologies and data collection point distributions often result in low-quality spatiotemporal data. Real-life trajectory classification encounters challenges due to the following: (1) high-order and sparse activity data encompassing both temporal and spatial contexts, and (2) inherent vagueness in the semantics of visited… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.