With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …

Lately, Autonomous vehicles (AV) have been gaining traction globally owing to their huge
social, economic and environmental benefits. However, the rising safety apprehensions for …

Pedestrian behavior anticipation is a key challenge in the design of assistive and
autonomous driving systems suitable for urban environments. An intelligent system should …

Human motion and behaviour in crowded spaces is influenced by several factors, such as
the dynamics of other moving agents in the scene, as well as the static elements that might …

One of the major challenges for autonomous vehicles in urban environments is to
understand and predict other road users' actions, in particular, pedestrians at the point of …

Interest in automatic crowd behaviour analysis has grown considerably in the last few years.
Crowd behaviour analysis has become an integral part all over the world for ensuring …

Vision-based prediction algorithms have a wide range of applications including autonomous
driving, surveillance, human-robot interaction, weather prediction. The objective of this …

Path forecasting is a pivotal step toward understanding dynamic scenes and an emerging
topic in the computer vi-sion field. This task is challenging due to the multimodal nature of …

Despite recent emergence of adversarial based methods for video prediction, existing
algorithms often produce unsatisfied results in image regions with rich structural information …

Human ability to foresee the near future plays a key role in everyone's life to prevent
potentially dangerous situations. To be able to make predictions is crucial when people …