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.
|Original language||American English|
|Title of host publication||Proceedings of 2022 IEEE 21st International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2022|
|Editors||Yingxu Wang, Konstantin N. Plataniotis, Bernard Widrow, Witold Pedrycz, Witold Kinsner, Petros Spachos, Sam Kwong|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|State||Published - 2022|
|Event||21st IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2022 - Toronto, Canada|
Duration: 8 Dec 2022 → 10 Dec 2022
|Name||Proceedings of 2022 IEEE 21st International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2022|
|Conference||21st IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2022|
|Period||8/12/22 → 10/12/22|
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- attentive clustering
- dynamic vision sensors
- Event-based cameras