A real-time motion-feature-extraction image processor employing digital-pixel-sensor-based parallel architecture

A VLSI image processor capable of extracting motion features from moving images in real time has been developed employing row-parallel and pixel-parallel architectures based on the digital pixel sensor (DPS) technology. Directional edge filtering of input images is carried out in row-parallel proces...

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Bibliographic Details
Main Authors: Zhu, Hongbo, Shibata, Tadashi
Format: Conference Proceeding
Language:English
Subjects:
Adders
Arrays
Feature extraction
Image edge detection
Random access memory
Sorting
Very large scale integration
Online Access:Request full text
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Description
Summary:A VLSI image processor capable of extracting motion features from moving images in real time has been developed employing row-parallel and pixel-parallel architectures based on the digital pixel sensor (DPS) technology. Directional edge filtering of input images is carried out in row-parallel processing to minimize the chip real estate. To achieve a real-time response of the system, a fully pixel-parallel architecture has been explored in adaptive binarization of filtered images for essential feature extraction as well as in their temporal integration and derivative operations. As a result, self-speed-adaptive motion-feature-extraction has been established. The chip was designed and fabricated in a 65-nm CMOS technology and used to build an object detection system. Motion-sensitive target image localization was demonstrated as an illustrative example.
ISSN:0271-4302
2158-1525
DOI:10.1109/ISCAS.2012.6271563