@inproceedings{da75c51e1e93448ea0f3364252dc60cd,
title = "A Time-Memory-based CMOS Vision Sensor with In-Pixel Temporal Derivative Computing for Multi-Mode Image Processing",
abstract = "This paper presents in-pixel and near-pixel processing circuit techniques for multi-mode processing CMOS vision sensor. The new design includes a checkerboard patch-based pixel circuit and column-shared frame difference processing circuits that detect a patch-level temporal change and generate lb event signal. In-pixel time memory circuit is proposed to process a temporal derivative of the event in both area and power efficient way. The 324× 252 vision sensor is implemented in 0.18 μ m CMOS process and consumes 4.79 μ W @12.5fps showing FoM of 42.2pJ/pix. frame in the patch mode operation for frame difference-based motion detection and temporal derivative generation.",
keywords = "frame difference, in-pixel processing, in-sensor computing, multi-mode image processing, nearpixel processing, temporal derivative, vision sensor",
author = "Jee, \{Dong Woo\} and Ko, \{Seong Min\} and Kishore Kasichainula and Injune Yeo and Yu Cao and Seo, \{Jae Sun\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 49th IEEE European Solid State Circuits Conference, ESSCIRC 2023 ; Conference date: 11-09-2023 Through 14-09-2023",
year = "2023",
doi = "10.1109/ESSCIRC59616.2023.10268817",
language = "English (US)",
series = "European Solid-State Circuits Conference",
publisher = "IEEE Computer Society",
pages = "109--112",
booktitle = "ESSCIRC 2023 - IEEE 49th European Solid State Circuits Conference",
}