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


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{
  "DOI": "10.1109/JSSC.2020.3005759", 
  "container_title": "Solid-State Circuits", 
  "author": [
    {
      "family": "Zou, Yu"
    }, 
    {
      "family": "Gottardi, Massimo"
    }, 
    {
      "family": "Lecca, Michela"
    }, 
    {
      "family": "Perenzoni, Matteo"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2020, 
        7, 
        13
      ]
    ]
  }, 
  "abstract": "<p>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;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;m pixel vision sensor is manufactured in a 110-nm 1P4M CMOS and occupies 25.4 mm&sup2;.</p>", 
  "title": "A Low-Power VGA Vision Sensor with Embedded Event Detection for Outdoor Edge Applications", 
  "type": "article-journal", 
  "id": "4059748"
}
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