دانلود مقاله انگلیسی رایگان:سیستم پویا چند عاملی برای ردیابی چند چهره قوی - 2019
دانلود بهترین مقالات isi همراه با ترجمه فارسی
دانلود مقاله انگلیسی سیستم های خبره رایگان
  • A multi-agent dynamic system for robust multi-face tracking A multi-agent dynamic system for robust multi-face tracking
    A multi-agent dynamic system for robust multi-face tracking

    سال انتشار:

    2019


    عنوان انگلیسی مقاله:

    A multi-agent dynamic system for robust multi-face tracking


    ترجمه فارسی عنوان مقاله:

    سیستم پویا چند عاملی برای ردیابی چند چهره قوی


    منبع:

    Sciencedirect - Elsevier - Expert Systems With Applications, 126 (2019) 246-264: doi:10:1016/j:eswa:2019:02:008


    نویسنده:

    Lada Maleša , ∗, Darijan Mar ˇceti ´cb , Slobodan Ribari ´cb


    چکیده انگلیسی:

    The paper presents a new architecture framework in the field of expert and intelligent systems which is based on four paradigms: a novel multi-agent dynamic system architecture (MADS), an extended Belief Desire Intention (EBDI) agent community, autonomy-oriented entities (AOEs), and deep learning concepts. The main impact of the proposed framework is a new approach, or even a new way of thinking, which enables integration of the concepts of deep learning, a conventional approach to solving the domain prob- lem, cognitive agents with mental attitudes, and concepts of nature-inspired computing. All these allow the effective use of the framework in the field of intelligent and expert systems. The significance of the framework lies in its flexibility and adaptability based on the formal logical description of EBDI agents, the definition of the behaviour of AOEs, the use of classical modules for domain problem solving, and modules based on deep-learning concepts. We believe that the example of the adaptation of the pro- posed architecture framework to robust multi-face tracking illustrates the significance of the proposed framework. In this paper, MADS is adapted to the first two stages of a face de-identification pipeline: robust face detection and multi-face tracking. The proposed architecture of MADS has a two-level hierar- chical organization. At the first level there is a manager designed as an Extended Belief Desire Intention (mEBDI) agent. The extension of a manager BDI agent consists of a convolutional neural network-based face detector, a set of autonomous-oriented entities for the elimination of false positive face detections, and a trajectory memory. At the second level, there are many tracking agents (trEBDIs) which consist of a basic BDI agent extended with a face tracker based on position and scale correlation filters, a visual ap- pearance memory, and a trajectory memory. The mEBDI and trEBDI agents are defined by the modal logic and are described at the implementation level. The proposed architecture for a robust multi-face tracking system was tested on a subset of YouTube music videos. The qualitative results, as well as the prelimi- nary quantitative results expressed by the standard testing metrics, demonstrate the effective adaptation of the proposed multi-agent dynamic architecture to a robust multi-face tracking system.
    Keywords: Multi-agent dynamic system | BDI agent | Multi-face tracking | De-identification pipeline


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 19
    حجم فایل: 3761 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




اگر این مقاله را پسندیدید آن را در شبکه های اجتماعی به اشتراک بگذارید (برای به اشتراک گذاری بر روی ایکن های زیر کلیک کنید)

تعداد نظرات : 0

الزامی
الزامی
الزامی
rss مقالات ترجمه شده rss مقالات انگلیسی rss کتاب های انگلیسی rss مقالات آموزشی