دوره 17، شماره 1 - ( 4-1399 )
جلد 17 شماره 1 صفحات 60-47 |
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Mahmoodzadeh A, Agahi H, Vaghefi M. A Fall Detection System based on the Type II Fuzzy Logic and Multi-Objective PSO Algorithm. JSDP 2020; 17 (1) :47-60
URL: http://jsdp.rcisp.ac.ir/article-1-886-fa.html
URL: http://jsdp.rcisp.ac.ir/article-1-886-fa.html
محمودزاده آذر، آگاهی حامد، واقفی مهسا. سامانه تشخیص سقوط افراد مبتنی بر منطق فازی نوع دو و الگوریتم بهینه‌سازی اجتماع ذرات چندهدفه. پردازش علائم و داده‌ها. 1399; 17 (1) :47-60
دانشگاه آزاد اسلامی، واحد شیراز
چکیده: (3495 مشاهده)
توجه به سلامت سالمندان به‌عنوان سرمایه‌های ارزشمند کشور، امری ضروری و شایان توجه است. آسیب‌های جدی یا حتی مرگ ناشی از زمین‌خوردن برای افراد سالمند بسیار محتمل است؛ بنابراین تشخیص سریع وقوع این رخداد در بسیاری موارد می‌تواند منجر به نجات جان شخص شود. در این مقاله روشی پیشنهاد شده است که بر اساس آن تصاویر ویدئویی نظارتی از محل حضور شخص همواره مورد پردازش قرار می‌گیرد. در ادامه، با استفاده از الگوریتم استخراج پس‌زمینه بصری (ViBe)، شخص متحرک از پس‌زمینه جدا شده و شش ویژگی مؤثر از تصویر استخراج می‌شود. در انتها سامانه منطق فازی نوع دو برای تشخیص سقوط فرد به کار گرفته می شود؛ همچنین به‌منظور کاهش پیچیدگی محاسباتی سامانه فازی، از الگوریتم بهینه سازی اجتماع ذرات چندهدفه برای انتخاب توابع تعلق مؤثر استفاده شده است. نتایج اعمال روش پیشنهادی تصدیق می‌کند که این سامانه قادر به تشخیص سقوط شخص با سرعت قابل قبول و دقت تصمیم‌گیری مناسب است.
واژه‌های کلیدی: تشخیص سقوط، الگوریتم ViBe، منطق فازی نوع دو، الگوریتم بهینه سازی اجتماع ذرات چندهدفه
نوع مطالعه: پژوهشي |
موضوع مقاله:
مقالات پردازش تصویر
دریافت: 1397/5/23 | پذیرش: 1398/6/11 | انتشار: 1399/4/1 | انتشار الکترونیک: 1399/4/1
دریافت: 1397/5/23 | پذیرش: 1398/6/11 | انتشار: 1399/4/1 | انتشار الکترونیک: 1399/4/1
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