DocumentCode :
63743
Title :
A 33 
W 64 
64 Pixel Vision Sensor Embedding Robust Dynamic Background Subtraction fo
Author :
Cottini, Nicola ; Gottardi, Massimo ; Massari, Nicola ; Passerone, Roberto ; Smilansky, Zeev
Author_Institution :
Fondazione Bruno Kessler, Povo, Italy
Volume :
48
Issue :
3
fYear :
2013
fDate :
Mar-13
Firstpage :
850
Lastpage :
863
Abstract :
A 64 × 64-pixel ultra-low power vision sensor is presented, performing pixel-level dynamic background subtraction as the low-level processing layer of an algorithm for scene interpretation. The pixel embeds two digitally-programmable Switched-Capacitors Low-Pass Filters (SC-LPF) and two clocked comparators, aimed at detecting any anomalous behavior of the current photo-generated signal with respect to its past history. The 45 T, 26 μm square pixel has a fill-factor of 12%. The vision sensor has been fabricated in a 0.35 μm 2P3M CMOS process, powered with 3.3 V, and consumes 33 μ W at 13 fps, which corresponds to 620 pW/frame.pixel.
Keywords :
CMOS image sensors; electric sensing devices; low-pass filters; low-power electronics; photodetectors; switched capacitor filters; 2P3M CMOS process; SC-LPF; clock comparator; current photogenerated signal; digitally-programmable switched- capacitors low-pass filter; event detection; fill-factor; low-level processing layer; magnetic flux density 45 T; pixel-level dynamic background subtraction; power 33 muW; scene interpretation; size 0.35 mum; size 26 mum; ultralow power vision sensor; voltage 3.3 V; Cameras; Clocks; Heuristic algorithms; Low pass filters; Photodiodes; Robustness; Threshold voltage; CMOS vision sensors; energy autonomous low-power sensors; low-power; visual processing; wireless sensor networks;
fLanguage :
English
Journal_Title :
Solid-State Circuits, IEEE Journal of
Publisher :
ieee
ISSN :
0018-9200
Type :
jour
DOI :
10.1109/JSSC.2012.2235031
Filename :
6466427
Link To Document :
