A 3.4-w object-adaptive cmos image sensor with embedded feature extraction algorithm for motion-triggered object-of-interest imaging

Jaehyuk Choi, Seokjun Park, Jihyun Cho, Euisik Yoon

Research output: Contribution to journalArticle

40 Citations (Scopus)


We report a low-power object-adaptive CMOS imager, which suppresses spatial temporal bandwidth. The object-adaptive imager has embedded a feature extraction algorithm for identifying objects of interest. The sensor wakes up triggered by motion sensing and extracts features from the captured image for the detection of object-of-interest (OOI). Full-image capturing operation and image signal transmission are performed only when the interested objects are found, which significantly reduces power consumption at the sensor node. This motion-triggered OOI imaging significantly saves a spatial bandwidth more than 96.5% from the feature output and saves a temporal bandwidth from the motion-triggered wakeup and object adaptive imaging. The sensor consumes low power by employing a reconfigurable differential-pixel architecture with reduced power supply voltage and by implementing the feature extraction algorithm with mixed-signal circuitry in a small area. The chip operates at 0.22 μW/frame in motion-sensing mode and at 3.4 μ W/frame for feature extraction, respectively. The object detection from on-chip feature extraction circuits has demonstrated a 94.5% detection rate for human from a set of 200 sample images.

Original languageEnglish
Article number6642143
Pages (from-to)289-300
Number of pages12
JournalIEEE Journal of Solid-State Circuits
Issue number1
Publication statusPublished - 2014 Jan 1


All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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