کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4947399 | 1439579 | 2017 | 38 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Fusion of appearance and motion-based sparse representations for multi-shot person re-identification
ترجمه فارسی عنوان
ترکیب ظاهر و نمایش های ضعیف مبتنی بر حرکت برای شناسایی یک شخص چند شات
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کلمات کلیدی
شناسایی فرد، فیوژن، حرکت ظاهر، نمایندگی انحصاری، فرهنگ لغت پویا،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
We present in this paper a multi-shot human re-identification system from video sequences based on interest points (IPs) matching. Our contribution is to take advantage of the complementary of person's appearance and style of its movement that leads to a more robust description with respect to various complexity factors. The proposed contributions include person's description and features matching. For person's description, we propose to exploit a fusion strategy of two complementary features provided by appearance and motion description. We describe motion using spatiotemporal IPs, and use spatial IPs for describing the appearance. For feature matching, we use Sparse Representation (SR) as a local matching method between IPs. The fusion strategy is based on the weighted sum of matched IPs votes and then applying the rule of majority vote. This approach is evaluated on a large public dataset, PRID-2011. The experimental results show that our approach clearly outperforms current state-of-the-art.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 248, 26 July 2017, Pages 94-104
Journal: Neurocomputing - Volume 248, 26 July 2017, Pages 94-104
نویسندگان
Mohamed Ibn Khedher, Mounim A. El-Yacoubi, Bernadette Dorizzi,