Adaptive Attention with a Neuromorphic Hybrid Frame and Event-based Camera.

Avinoam Bitton, Hadar Cohen Duwek, Elishai Ezra Tsur

פרסום מחקרי: פרק בספר / בדוח / בכנספרסום בספר כנסביקורת עמיתים

תקציר

Neuromorphic (brain-inspired) cameras communicate transients in luminance as events, supporting high frame rate, fine temporal resolution, high dynamic range, no motion blur, high signal-To-noise ratio, and power-efficient vision systems. Here, we used a hybrid camera, neuromorphically enhancing frame-based vision with event-driven motion-sensitive adaptive attention. We used spatial-memory and event-driven salient maps to direct a frame camera toward attentive zones. We further implemented a dynamic tolerance mechanism with which attentional zones reallocate, supporting a multiple-object attentional load. Finally, we enhanced our hybrid imaging system using an automatic segmentation performed in fixed time intervals on event-based reconstructed frames, allowing efficient derivation of attentive areas. This hybrid approach demonstrates an efficient coverage of a large field of view.

שפה מקוריתאנגלית אמריקאית
כותר פרסום המארחProceedings of 2022 IEEE 21st International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2022
עורכיםYingxu Wang, Konstantin N. Plataniotis, Bernard Widrow, Witold Pedrycz, Witold Kinsner, Petros Spachos, Sam Kwong
מוציא לאורInstitute of Electrical and Electronics Engineers Inc.
עמודים242-247
מספר עמודים6
מסת"ב (אלקטרוני)9781665490849
מזהי עצם דיגיטלי (DOIs)
סטטוס פרסוםפורסם - 2022
אירוע21st IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2022 - Toronto, קנדה
משך הזמן: 8 דצמ׳ 202210 דצמ׳ 2022

סדרות פרסומים

שםProceedings of 2022 IEEE 21st International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2022

כנס

כנס21st IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2022
מדינה/אזורקנדה
עירToronto
תקופה8/12/2210/12/22

הערה ביבליוגרפית

DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

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