کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
403996 677379 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Real-time object tracking based on scale-invariant features employing bio-inspired hardware
ترجمه فارسی عنوان
ردیابی شی در زمان واقعی بر اساس ویژگی های مقیاس ثابت با استفاده از سخت افزار الهام گرفته از محیط زیست
کلمات کلیدی
سنسور بینایی هوشمند؛ معماری الهام گرفته از زیستی ؛ ویژگی های مقیاس ثابت . ردیابی شی در زمان واقعی؛ شبکه مقاومتی؛ شتاب سخت افزاری
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• We developed a real-time vision system with analog/digital mixed architecture.
• The system consists of an analog MOS transistor resistive network (RN) and an FPGA.
• The RN conducts multi-scale filtering in real time with a low power consumption.
• The FPGA finds scale-invariant key points by frequency-band parallel processing.
• The system was combined with a PC to track a moving target of a varying scale.

We developed a vision sensor system that performs a scale-invariant feature transform (SIFT) in real time. To apply the SIFT algorithm efficiently, we focus on a two-fold process performed by the visual system: whole-image parallel filtering and frequency-band parallel processing. The vision sensor system comprises an active pixel sensor, a metal-oxide semiconductor (MOS)-based resistive network, a field-programmable gate array (FPGA), and a digital computer. We employed the MOS-based resistive network for instantaneous spatial filtering and a configurable filter size. The FPGA is used to pipeline process the frequency-band signals. The proposed system was evaluated by tracking the feature points detected on an object in a video.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 81, September 2016, Pages 29–38
نویسندگان
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