Human motion trajectory prediction: A survey
With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …
of such systems to perceive, understand, and anticipate human behavior becomes …
Multiple object tracking: A literature review
Abstract Multiple Object Tracking (MOT) has gained increasing attention due to its academic
and commercial potential. Although different approaches have been proposed to tackle this …
and commercial potential. Although different approaches have been proposed to tackle this …
Trackformer: Multi-object tracking with transformers
The challenging task of multi-object tracking (MOT) requires simultaneous reasoning about
track initialization, identity, and spatio-temporal trajectories. We formulate this task as a …
track initialization, identity, and spatio-temporal trajectories. We formulate this task as a …
Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction
Predicting human behavior is a difficult and crucial task required for motion planning. It is
challenging in large part due to the highly uncertain and multi-modal set of possible …
challenging in large part due to the highly uncertain and multi-modal set of possible …
Tracking without bells and whistles
P Bergmann, T Meinhardt… - Proceedings of the …, 2019 - openaccess.thecvf.com
The problem of tracking multiple objects in a video sequence poses several challenging
tasks. For tracking-by-detection, these include object re-identification, motion prediction and …
tasks. For tracking-by-detection, these include object re-identification, motion prediction and …
Stgat: Modeling spatial-temporal interactions for human trajectory prediction
Human trajectory prediction is challenging and critical in various applications (eg,
autonomous vehicles and social robots). Because of the continuity and foresight of the …
autonomous vehicles and social robots). Because of the continuity and foresight of the …
It is not the journey but the destination: Endpoint conditioned trajectory prediction
Human trajectory forecasting with multiple socially interacting agents is of critical importance
for autonomous navigation in human environments, eg, for self-driving cars and social …
for autonomous navigation in human environments, eg, for self-driving cars and social …
Social gan: Socially acceptable trajectories with generative adversarial networks
Understanding human motion behavior is critical for autonomous moving platforms (like self-
driving cars and social robots) if they are to navigate human-centric environments. This is …
driving cars and social robots) if they are to navigate human-centric environments. This is …
Sophie: An attentive gan for predicting paths compliant to social and physical constraints
This paper addresses the problem of path prediction for multiple interacting agents in a
scene, which is a crucial step for many autonomous platforms such as self-driving cars and …
scene, which is a crucial step for many autonomous platforms such as self-driving cars and …
Sr-lstm: State refinement for lstm towards pedestrian trajectory prediction
In crowd scenarios, reliable trajectory prediction of pedestrians requires insightful
understanding of their social behaviors. These behaviors have been well investigated by …
understanding of their social behaviors. These behaviors have been well investigated by …