38   Artículos

 
en línea
Hongye Liu and Xiai Chen    
Person re-identification aims to identify the same pedestrians captured by various cameras from different viewpoints in multiple scenarios. Occlusion is the toughest problem for practical applications. In video-based ReID tasks, motion information can be... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Diogo Mendes, Simão Correia, Pedro Jorge, Tomás Brandão, Patrícia Arriaga and Luís Nunes    
This study presents a trajectory-based person re-identification algorithm, embedded in a tool to detect and track customers present in a large retail store, in a multi-camera environment. The customer trajectory data are obtained from video surveillance ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Newlin Shebiah Russel, S Arivazhagan, S G Amrith, S Adarsh     Pág. 25 - 33
Revista: Inteligencia Artificial    Formato: Electrónico

 
en línea
Zhixiong Wu and Tingxi Wen    
Visible-infrared person re-identification (VIPR) has great potential for intelligent video surveillance systems at night, but it is challenging due to the huge modal gap between visible and infrared modalities. For that, this paper proposes a minimizing ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yang Liu, Hao Sheng, Shuai Wang, Yubin Wu and Zhang Xiong    
The person re-identification (re-ID) problem has attracted growing interest in the computer vision community. Most public re-ID datasets are captured by multiple non-overlapping cameras, and the same person may appear dissimilar in different camera views... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Randa Mohamed Bayoumi, Elsayed E. Hemayed, Mohammad Ehab Ragab and Magda B. Fayek    
Video-based person re-identification has become quite attractive due to its importance in many vision surveillance problems. It is a challenging topic due to the inter/intra changes, occlusion, and pose variations involved. In this paper, we propose a py... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Shengyu Pei and Xiaoping Fan    
Existing person re-recognition (Re-ID) methods usually suffer from poor generalization capability and over-fitting problems caused by insufficient training samples. We find that high-level attributes, semantic information, and part-based local informatio... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Bailiang Huang, Yan Piao and Yanfeng Tang    
Person re-identification (Re-ID) is a key technology used in the field of intelligent surveillance. The existing Re-ID methods are mainly realized by using convolutional neural networks (CNNs), but the feature information is easily lost in the operation ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jacobo González-Cepeda, Álvaro Ramajo and José María Armingol    
Security cameras have been proven to be particularly useful in preventing and combating crime through identification tasks. Here, two areas can be mainly distinguished: person and vehicle identification. Automatic license plate readers are the most widel... ver más
Revista: Information    Formato: Electrónico

 
en línea
Shengbo Chen, Hongchang Zhang and Zhou Lei    
Person re-identification (ReID) plays a significant role in video surveillance analysis. In the real world, due to illumination, occlusion, and deformation, pedestrian features extraction is the key to person ReID. Considering the shortcomings of existin... ver más
Revista: Future Internet    Formato: Electrónico

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