RT Dissertation/Thesis
T1 Low power CMOS vision sensor for foreground segmentation
A1 García Lesta, Daniel
K1 CMOS Vision Sensor
K1 Focal-plane Processing
K1 Smart Sensors
K1 Low Power Consumption
K1 Background Subtraction
AB This thesis focuses on the design of a top-ranked algorithm for backgroundsubtraction, the Pixel Adaptive Based Segmenter (PBAS), for its mapping onto a CMOS vision sensor on the focalplane processing. The redesign of PBAS into its hardware oriented version, HO-PBAS, has led to a less number ofmemories per pixel, along with a simpler overall model, yet, resulting in an acceptable loss of accuracy with respectto its counterpart on CPU. This thesis features two CMOS vision sensors. The first one, HOPBAS1K, has laid out a24 x 56 pixel array onto a miniasic chip in standard 180 nm CMOS technology. The second one, HOPBAS10K,features an array of 98 x 98 pixels in standard 180 nm CMOS technology too. The second chip fixes some issuesfound in the first chip, and provides good hardware and background performance metrics.
YR 2021
FD 2021
LK http://hdl.handle.net/10347/26472
UL http://hdl.handle.net/10347/26472
LA eng
DS Minerva
RD 29 abr 2026