We present a realtime tracking algorithm, Road-Track, to track heterogeneous road-agents
in dense traffic videos. Our approach is designed for dense traffic scenarios that consist of …

This article presents a comprehensive review of the existing literature on the topic of data
assimilation for agent-based models, with a specific emphasis on pedestrians and …

Understanding human navigational intent is essential for robots to be able to interact with
and navigate around humans safely and naturally. Current methods typically perform …

This paper will present a model for pedestrian motion by defining a spacetime metric. This
model considers the factors that are effective in the movement of pedestrians (such as …

Using facial expressions and trajectory signals, we present an emotion-aware navigation
algorithm for social robots. Our approach uses a combination of Bayesian-inference, CNN …

In this paper, we introduce an unsupervised hierarchical framework for modeling trajectories
in surveillance scenarios. Inspired by the object recognition field, a novel feature …

Navigating a robot in a dynamic environment is a challenging task, especially when the
behavior of other agents such as pedestrians, is only partially predictable. Also, the …

Robot motion planning in dynamic environments is significantly difficult, especially when the
future trajectories of dynamic obstacles are only predictable over a short time interval and …

Over the last few years, there has been a growing interest in the development of service
robots that can operate in everyday environments, both in commercial and research settings …

This paper presents a Gaussian mixture model based method for estimation of multiple
mobile agent trajectories over time following a social force motion model. From an initial …