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Publication . Article . 2020

A Low-Power VGA Vision Sensor With Embedded Event Detection for Outdoor Edge Applications

Yu Zou; Massimo Gottardi; Michela Lecca; Matteo Perenzoni;
Open Access  
Published: 13 Jul 2020 Journal: IEEE Journal of Solid-State Circuits, volume 55, pages 3,112-3,121 (issn: 0018-9200, eissn: 1558-173X, Copyright policy )
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Abstract
We report on a low-power VGA vision sensor embedding event-detection capabilities targeted to battery-powered vision processing at the edge. The sensor relies on an always-ON Double-Threshold dynamic background subtraction (DT-DBS) algorithm. The resulting motion bitmap is de-noised, projected along $xy$ -axes of the array of pixels and filtered to robustly detect moving targets even in noisy outdoor scenarios. The chip operates in motion detection (MD), applied on a QQVGA sub-sampled image, looking for anomalous motion in the scene at 344 $\mu \text{W}$ , and in imaging mode (IM), delivering full-resolution gray-scale images with associated local binary pattern (LBP) coding and motion bitmaps at 8 frames/s and 1.35 mW. The 4- $\mu \text{m}$ pixel vision sensor is manufactured in a 110-nm 1P4M CMOS and occupies 25.4 mm2.
Subjects by Vocabulary

Microsoft Academic Graph classification: Video Graphics Array Computer science Background subtraction Motion detection Computer vision Artificial intelligence business.industry business Local binary patterns Pixel

ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION

Subjects

Electrical and Electronic Engineering, Background subtraction, event detection, local binary pattern, low-power vision sensors, motion detection

Related Organizations
Funded by
EC| FORENSOR
Project
FORENSOR
FOREnsic evidence gathering autonomous seNSOR
  • Funder: European Commission (EC)
  • Project Code: 653355
  • Funding stream: H2020 | IA
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IEEE Journal of Solid-State Circuits
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