Journal article Open Access

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

Zou, Yu; Gottardi, Massimo; Lecca, Michela; Perenzoni, Matteo

Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Zou, Yu</dc:creator>
  <dc:creator>Gottardi, Massimo</dc:creator>
  <dc:creator>Lecca, Michela</dc:creator>
  <dc:creator>Perenzoni, Matteo</dc:creator>
  <dc:description>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 μW, 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-μm pixel vision sensor is manufactured in a 110-nm 1P4M CMOS and occupies 25.4 mm².</dc:description>
  <dc:source>Solid-State Circuits</dc:source>
  <dc:subject>Background subtraction, event detection, local binary pattern, low-power vision sensors, motion detection</dc:subject>
  <dc:title>A Low-Power VGA Vision Sensor with Embedded Event Detection for Outdoor Edge Applications</dc:title>
Views 181
Downloads 212
Data volume 1.5 GB
Unique views 162
Unique downloads 184


Cite as