توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱An Investigation of Methods of First–Person Human Activity Recognition for Robot
اطلاعات انتشار: اولین کنفرانس بین المللی دستاوردهای نوین پژوهشی در مهندسی برق و کامپیوتر، سال
تعداد صفحات: ۵
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<\div>
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