no code implementations • 7 Dec 2019 • Behnoosh Parsa, Athma Narayanan, Behzad Dariush
In this paper, we propose a novel Spatio-Temporal Pyramid Graph Convolutional Network (ST-PGN) for online action recognition for ergonomic risk assessment that enables the use of features from all levels of the skeleton feature hierarchy.
no code implementations • 1 Oct 2019 • Athma Narayanan, Avinash Siravuru, Behzad Dariush
The Tactical Driver Behavior modeling problem requires understanding of driver actions in complicated urban scenarios from a rich multi modal signals including video, LiDAR and CAN bus data streams.
no code implementations • 29 May 2019 • Athma Narayanan, Isht Dwivedi, Behzad Dariush
This paper examines the problem of dynamic traffic scene classification under space-time variations in viewpoint that arise from video captured on-board a moving vehicle.
no code implementations • 2 Jul 2018 • Athma Narayanan, Yi-Ting Chen, Srikanth Malla
First, predefined driving behaviors are sparse in a naturalistic driving setting.