Multiple object visual tracking of real time detected objects using a low-power embedded solution is shown. The proposal is implemented on a NVIDIA Jetson TX2 development kit demonstrating the feasibility of deep learning techniques for IoT and mobile edge computing applications.
keywords: Deep Learning, Embedded GPU, PBAS, Go-TURN
Publication: Congress
1624015053982
June 18, 2021
/research/publications/live-demonstration-deep-learning-based-visual-tracking-of-multiple-objects-on-a-low-power-embedded-system
Multiple object visual tracking of real time detected objects using a low-power embedded solution is shown. The proposal is implemented on a NVIDIA Jetson TX2 development kit demonstrating the feasibility of deep learning techniques for IoT and mobile edge computing applications. - Beatriz Blanco-Filgueira, Daniel García-Lesta, Mauro Fernández-Sanjurjo, Víctor M. Brea, Paula López - 10.1109/ISCAS.2019.8702236
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