Occluded pedestrian re-identification based on Multiple Fusion and Semantic feature Mining

The field of person re-identification (re-ID) encounters challenges such as inter-person similarity and occlusion. In this paper, we introduce an occluded pedestrian re-ID method based on Multiple Fusion and Semantic feature Mining (MFSM) to mitigate the adverse effects of occlusion on feature repre...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Junjie Wu, Peng Zhao, Luxia Yang, Gang Wang
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Elsevier 2024-04-01
Цуврал:	Alexandria Engineering Journal
Нөхцлүүд:	Occluded person re-identification Feature enhancement Feature integration Feature expansion
Онлайн хандалт:	http://www.sciencedirect.com/science/article/pii/S1110016824002047
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!