用于事件检测的1.6mW 320×240像素视觉传感器

Yu Zou, M. Gottardi, M. Lecca
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引用次数: 0

摘要

本文报道了一种嵌入自定义事件检测算法的低功耗视觉传感器。通过连续监测像素强度相对于两个动态更新的阈值的时间变化,将场景中发生的异常或可疑运动从背景中隔离出来。强度超出这些阈值范围的像素被认为是可能异常活动的一部分,它们被称为热像素。该传感器采用110纳米CMOS技术制造。它以15 fps的速度提供QVGA格式的灰度图像和相关的热像素位图,功耗为1.6mW。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A 1.6mW 320×240 pixel vision sensor for event detection
This paper reports on a low-power vision sensor embedding a custom algorithm for event detection. Anomalous or suspicious motions occurring in the scene are isolated from the background by continuously monitoring the time variation of the pixel intensity with respect to two thresholds that are dynamically updated. Pixels whose intensity is out of the range defined by these thresholds are considered as a part of a possibly anomalous activity and they are called hot pixels. The sensor has been fabricated in a 110nm CMOS technology. It delivers grayscale images in QVGA format and related hot-pixel bitmaps at 15 fps with a power consumption of 1.6mW.
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