An Investigation of Methods of First-Person Human Activity Recognition for Robot
Publish place: The first international conference of modern research engineers in electricity and computer
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
View: 775
This Paper With 5 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
CBCONF01_0179
تاریخ نمایه سازی: 16 شهریور 1395
Abstract:
First-person activity recognition, a subcategory of video-based human action recognition, has become an active research topic in computer vision. Action recognition systems is to automatically analyze the ongoing events. Unlike the traditional action recognition systems where videos or image sequences were recorded with out of reach cameras, a first-person activity recognition systems uses videos or image sequences that are recorded with cameras which individuals wear. Based on the emerging research in recent years, it is a time to review the existing approaches to first-person activity recognition and inspire more ideas to advance the field of research. We present a detailed overview of the state-of-the art method and covers all aspects of the general framework of first-person activity recognition. All related databases are introduced with details. Finally, we suggest views and thoughts for future researches
Keywords:
Authors
Ghazal Shamsipour
Department of Computer Engineering Kharazmi University Tehran, Iran
Eisa Jafari Amirbandi
Department of Computer Engineering Kharazmi University Tehran, Iran
Jamshid Shanbehzadeh
Department of Computer Engineering Kharazmi University Tehran, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :