In this work, we evaluate different hardware and software optimizations applied to state-of-the-art gait recognition approaches deployed on two Jetson devices.
High performance inference of gait recognition models on embedded systems. https://doi.org/10.1016/j.suscom.2022.100814.
Efficient implementation of gait recognition models on embedded systems - PaulaRuizB/Embedded-Gait.
High Performance Inference of Gait Recognition Models on Embedded Systems · P. Ruiz ; UGaitNet: Multimodal Gait Recognition With Missing Input Modalities · F.M. ...
High performance inference of gait recognition models on embedded systems. P Ruiz-Barroso, FM Castro, R Delgado-Escaño, J Ramos-Cózar, N Guil. Sustainable ...
High performance inference of gait recognition models on embedded systems. P Ruiz-Barroso, FM Castro, R Delgado-Escaño, J Ramos-Cózar, N Guil. Sustainable ...
2022. High Performance Inference of Gait Recognition Models on Embedded Systems [doi] ... On How to Improve Tracklet-based Gait Recognition Systems [doi]
High performance inference of gait recognition models on embedded systems. P Ruiz-Barroso, FM Castro, R Delgado-Escaño, J Ramos-Cózar, N Guil. Sustainable ...
Mar 4, 2023 · This paper proposes a high-performance embedded system for offline Urdu handwritten signature verification. Though many signature datasets ...
High performance inference of gait recognition models on embedded systems · Computer Science, Engineering. Sustain. Comput. Informatics Syst. · 2022.