Efficient spatio-temporal feature clustering for large event-based datasets

Event-based cameras encode changes in a visual scene with high temporal precision and low power consumption, generating millions of events per second in the process. Current event-based processing algorithms do not scale well in terms of runtime and computational resources when applied to a large am...

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Veröffentlicht in:	Neuromorphic computing and engineering 2022-12, Vol.2 (4), p.44004
Hauptverfasser:	Oubari, Omar, Exarchakis, Georgios, Lenz, Gregor, Benosman, Ryad, Ieng, Sio-Hoi
Format:	Artikel
Sprache:	eng
Schlagworte:	asynchronous vision clusterings Computer Science Computer Vision and Pattern Recognition event-based processing feature extraction Gaussian mixture model
Online-Zugang:	Volltext
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