دوره 15، شماره 1 - ( 3-1397 )
جلد 15 شماره 1 صفحات 54-41 |
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Biglari M, Soleimani A, Hassanpour H. Using Discriminative Parts for Vehicle Make and Model Recognition . JSDP 2018; 15 (1) :41-54
URL: http://jsdp.rcisp.ac.ir/article-1-574-fa.html
URL: http://jsdp.rcisp.ac.ir/article-1-574-fa.html
بیگلری محسن، سلیمانی علی، حسن پور حمید. شناسایی نوع و مدل وسیله نقلیه با استفاده از مجموعه بخشهای متمایز‌کننده. پردازش علائم و داده‌ها. 1397; 15 (1) :41-54
دانشگاه صنعتی شاهرود
چکیده: (5133 مشاهده)
طبقهبندی دقیق اشیا (Fine-Grained Recognition) چالشی است که جامعه بینایی ماشین در حال حاضر با آن روبهرو شده است. در این نوع طبقهبندی گروه کلی شیء مشخص بوده و هدف تعیین زیرگروه دقیق آن است؛ شناسایی نوع و مدل وسیله نقلیه (VMMR) نیز در این حوزه قرار میگیرد. این مسئله به‌دلیل وجود تعداد طبقه‌های زیاد، تفاوت درون‌طبقه‌ای بسیار و تفاوت بین طبقه‌ای کم از مسائل طبقهبندی دشوار به‌شمار میرود. در این مقاله روشی مبتنی بر بخش برای شناسایی نوع و مدل خودرو پیشنهاد شده است. این روش برای طبقهبندی طبقه‌های مختلف خودرو، ابتدا بخشهای متمایز‌کننده هر یک را به‌صورت خودکار مییابد؛ سپس با استخراج ویژگی از این بخشها و رابطه هندسی بین آنها، یک مدل میآموزد. وزن بخشهای مختلف هر مدل به‌صورت پویا و با استفاده از مجموعه دادههای آموزشی یاد گرفته میشود. سامانه پیشنهادی با ترکیب این مدلها به شناسایی طبقه خودرو میپردازد. برای آزمایش سامانه پیشنهادی و به‌دلیل عدم وجود مجموعه داده به اشتراک گذاشته‌شده، یک مجموعه داده با بیش از 5000 خودرو از 28 طبقه مختلف تهیه و به‌صورت کامل علامتگذاری شده است. نتیجه آزمایش‌های انجام‌شده بر روی این تصاویر که دارای تغییرات روشنایی زیاد و تغییرات زاویه اندک هستند، نشان از دقت بالای روش پیشنهادی دارد.
نوع مطالعه: پژوهشي |
موضوع مقاله:
مقالات پردازش تصویر
دریافت: 1395/7/20 | پذیرش: 1396/3/20 | انتشار: 1397/3/23 | انتشار الکترونیک: 1397/3/23
دریافت: 1395/7/20 | پذیرش: 1396/3/20 | انتشار: 1397/3/23 | انتشار الکترونیک: 1397/3/23
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