Suchergebnisse - local probability model-based mean shift algorithm

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  1. 1

    Object detection and tracking under Complex environment using deep learning-based LPM von Li, Yundong, Zhang, Xueyan, Li, Hongguang, Zhou, Qichen, Cao, Xianbin, Xiao, Zhifeng

    ISSN: 1751-9632, 1751-9640, 1751-9640
    Veröffentlicht: The Institution of Engineering and Technology 01.03.2019
    Veröffentlicht in IET computer vision (01.03.2019)
    “… In this study, a novel local probability model (LPM)-based mean shift (MS) algorithm is proposed to integrate object detection and tracking …”
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    Journal Article
  2. 2

    Moving object tracking using particle filter and observational model based on multi-feature composition von Behzadfar, N., Ansarian, M., Sadaghiani, M.

    ISSN: 2164-7054
    Veröffentlicht: IEEE 01.05.2014
    Veröffentlicht in Iranian Conference on Electrical Engineering (01.05.2014)
    “… Recently, particle filter have based developed as a powerful method in this field. Particle filter is a following method which estimates a target route in video image sequences by probability approaches …”
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    Tagungsbericht
  3. 3

    Reducing Prediction Uncertainty of Weather Controlled Systems von Doeswijk, Timotheus Gerardus

    ISBN: 9798516032417
    Veröffentlicht: ProQuest Dissertations & Theses 01.01.2007
    “… In this situation weather forecast uncertainty and model based control are coupled. In this thesis a model of a storage facility of agricultural produce is used as an example for a weather controlled …”
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    Dissertation
  4. 4

    Advances in Computational Protein Structure Prediction von Subramani, Ashwin

    ISBN: 1267010452, 9781267010452
    Veröffentlicht: ProQuest Dissertations & Theses 01.01.2011
    “… The thesis is premised on the application of optimization theory, and algorithms based on it, to the protein structure prediction problem …”
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    Dissertation