Ensemble Learning-Based Person Re-identification with Multiple Feature Representations
المؤلفون المشاركون
Yang, Yun
Liu, Xiaofang
Ye, Qiongwei
Tao, Dapeng
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-09-04
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
As an important application in video surveillance, person reidentification enables automatic tracking of a pedestrian through different disjointed camera views.
It essentially focuses on extracting or learning feature representations followed by a matching model using a distance metric.
In fact, person reidentification is a difficult task because, first, no universal feature representation can perfectly identify the amount of pedestrians in the gallery obtained by a multicamera system.
Although different features can be fused into a composite representation, the fusion still does not fully explore the difference, complementarity, and importance between different features.
Second, a matching model always has a limited amount of training samples to learn a distance metric for matching probe images against a gallery, which certainly results in an unstable learning process and poor matching result.
In this paper, we address the issues of person reidentification by the ensemble theory, which explores the importance of different feature representations, and reconcile several matching models on different feature representations to an optimal one via our proposed weighting scheme.
We have carried out the simulation on two well-recognized person reidentification benchmark datasets: VIPeR and ETHZ.
The experimental results demonstrate that our approach achieves state-of-the-art performance.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Yun& Liu, Xiaofang& Ye, Qiongwei& Tao, Dapeng. 2018. Ensemble Learning-Based Person Re-identification with Multiple Feature Representations. Complexity،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1134887
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Yun…[et al.]. Ensemble Learning-Based Person Re-identification with Multiple Feature Representations. Complexity No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1134887
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Yun& Liu, Xiaofang& Ye, Qiongwei& Tao, Dapeng. Ensemble Learning-Based Person Re-identification with Multiple Feature Representations. Complexity. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1134887
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1134887
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر