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

被引:6
|
作者
Zou, Yu [1 ]
Gottardi, Massimo [1 ]
Lecca, Michela [1 ]
Perenzoni, Matteo [1 ]
机构
[1] Fdn Bruno Kessler, I-38123 Trento, Italy
基金
欧盟地平线“2020”;
关键词
Background subtraction (BS); event detection; local binary pattern (LBP); low-power vision sensors; motion detection (MD); BACKGROUND SUBTRACTION; PIXEL;
D O I
10.1109/JSSC.2020.3005759
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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(2).
引用
收藏
页码:3112 / 3121
页数:10
相关论文
共 50 条
  • [1] A Low-Power Edge Detection Technique for Sensor Wake-Up Applications
    Wang, Yao
    Wang, Haibo
    Wen, Guangjun
    [J]. JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2015, 24 (10)
  • [2] Low-power distributed event detection in wireless sensor networks
    Zhu, Yanmin
    Liu, Yunhuai
    Ni, Lionel M.
    Zhang, Zheng
    [J]. INFOCOM 2007, VOLS 1-5, 2007, : 2401 - +
  • [3] LOW-POWER ANALOG SMART CAMERA SENSOR FOR EDGE DETECTION
    Soell, C.
    Shi, L.
    Roeber, J.
    Reichenbach, M.
    Weigel, R.
    Hagelauer, A.
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2016, : 4408 - 4412
  • [4] Low-Power MCU With Embedded ReRAM Buffers as Sensor Hub for IoT Applications
    Chien, Tsai-Kan
    Chiou, Lih-Yih
    Sheu, Shyh-Shyuan
    Lin, Jing-Cian
    Lee, Chang-Chia
    Ku, Tzu-Kun
    Tsai, Ming-Jinn
    Wu, Chih-I
    [J]. IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2016, 6 (02) : 247 - 257
  • [5] Rapid Prototyping of Embedded Vision Systems: Embedding Computer Vision Applications into Low-Power Heterogeneous Architectures
    Aldegheri, Stefano
    Bombieri, Nicola
    [J]. PROCEEDINGS OF THE 2018 29TH INTERNATIONAL SYMPOSIUM ON RAPID SYSTEM PROTOTYPING (RSP): SHORTENING THE PATH FROM SPECIFICATION TO PROTOTYPE, 2018, : 63 - 69
  • [6] A Low-Power VGA Vision Sensor with Event Detection through Motion Computation based on Pixel-Wise Double-Threshold Background Subtraction and Local Binary Pattern Coding
    Zou, Yu
    Gottardi, Massimo
    Lecca, Michela
    Perenzoni, Matteo
    [J]. IEEE 45TH EUROPEAN SOLID STATE CIRCUITS CONFERENCE (ESSCIRC 2019), 2019, : 97 - +
  • [7] A low-power embedded SRAM for wireless applications
    Cosemans, Stefan
    Dehaene, Wim
    Catthoor, Francky
    [J]. IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2007, 42 (07) : 1607 - 1617
  • [8] Low-power electronics for distributed impact detection and piezoelectric sensor applications
    Champaigne, Kevin D.
    Sumners, Jonathan
    [J]. 2007 IEEE AEROSPACE CONFERENCE, VOLS 1-9, 2007, : 3911 - +
  • [9] A low-power orientation-selective vision sensor
    Shi, BE
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING, 2000, 47 (05): : 435 - 440
  • [10] A proposal of low-cost and low-power embedded wireless image sensor node for IoT applications
    Tresanchez, M.
    Pujol, A.
    Palleja, T.
    Martinez, D.
    Clotet, E.
    Palacin, J.
    [J]. 15TH INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS AND PERVASIVE COMPUTING (MOBISPC 2018) / THE 13TH INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND COMMUNICATIONS (FNC-2018) / AFFILIATED WORKSHOPS, 2018, 134 : 99 - 106