کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4947755 1439590 2017 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Dual-scale structural local sparse appearance model for robust object tracking
ترجمه فارسی عنوان
مدل ظاهری محلی ساختاری دوگانه برای ردیابی دقیق جسم
کلمات کلیدی
مدل ظاهر، ردیابی ویژوال نمایندگی انحصاری، مقیاس دوگانه،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Recently, sparse representation has been applied in object tracking successfully. However, the existing sparse representation captures either the holistic features of the target or the local features of the target. In this paper, we propose a dual-scale structural local sparse appearance (DSLSA) model based on overlapped patches, which can capture the quasi-holistic features and the local features of the target simultaneously. This paper first proposes two-scales structural local sparse appearance models based on overlapped patches. The larger-scale model is used to capture the structural quasi-holistic feature of the target, and the smaller-scale model is used to capture the structural local features of the target. Then, we propose a new mechanism to associate these two scale models as a new dual-scale appearance model. Both qualitative and quantitative analyses on challenging benchmark image sequences indicate that the tracker with our DSLSA model performs favorably against several state-of-the-art trackers.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 237, 10 May 2017, Pages 101-113
نویسندگان
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