2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019, p.1-1
2019
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Details
- Autor(en) / Beteiligte
- Titel
- Live Demonstration: Deep Learning-Based Visual Tracking of Multiple Objects on a Low-Power Embedded System
- Ist Teil von
- 2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019, p.1-1
- Ort / Verlag
- IEEE
- Erscheinungsjahr
- 2019
- Quelle
- IEEE Electronic Library (IEL)
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISBN: 9781728103976, 1728103975ISSN: 2158-1525eISSN: 2158-1525DOI: 10.1109/ISCAS.2019.8702236Titel-ID: cdi_ieee_primary_8702236
- Format
- –
- Schlagworte
- Cameras, Deep learning, Edge computing, Embedded systems, Proposals, Real-time systems, Visualization