Results 31 to 40 of about 6,029,270 (241)
Person Re-Identification by Siamese Network
Re-Identification of person aims at retrieval of person across multiple non overlapping camera. There was a huge gain in the computer vision community with the advancement of deep learning features and also the number of surveillance in videos increased.
Newlin Shebiah Russel +3 more
doaj +1 more source
Review of person re‐identification techniques
Person re‐identification across different surveillance cameras with disjoint fields of view has become one of the most interesting and challenging subjects in the area of intelligent video surveillance.
Mohammad Ali Saghafi +3 more
doaj +1 more source
Re-Identification for Improved People Tracking [PDF]
Re-identification is usually defined as the problem of deciding whether a person currently in the field of view of a camera has been seen earlier either by that camera or another.
Fua, Pascal +5 more
core +2 more sources
AL-DDCNN : a distributed crossing semantic gap learning for person re-identification [PDF]
By the reason of the variability of light and pedestrians’ appearance, it is hard for a camera to obtain a clear human figure. Person re-identification with different cameras is a difficult visual recognition task.
Qi, M., Cheng, K., Zhan, Y.
core +1 more source
Modeling Unknown Class Centers for Metric Learning on Person Re-Identification
Metric learning is one of the major methods for person re-identification. Most existing metric learning methods for person re-identification first generate the pairwise constraints where the sample pairs with the same labels consist of the positive set ...
Yuan Yuan, Jian'an Zhang, Qi Wang
doaj +1 more source
Gait recognition for person re-identification [PDF]
Person re-identification across multiple cameras is an essential task in computer vision applications, particularly tracking the same person in different scenes.
Omar Elharrouss (14150895) +10 more
core +1 more source
Person Re-identification Based on Feature Location and Fusion [PDF]
Pedestrian appearance attributes are important semantic information distinguishing pedestrian differences.Pedestrian attribute recognition plays a vital role in intelligent video surveillance,which can help us quickly screen and retrieve target ...
YANG Xiao-yu, YIN Kang-ning, HOU Shao-qi, DU Wen-yi, YIN Guang-qiang
doaj +1 more source
A New Model for Person Reidentification Using Deep CNN and Autoencoders [PDF]
Person re-identification (re-id) is one of the most critical and challenging topics in image processing and artificial intelligence. In general, person re-identification means that a person seen in the field of view of one camera can be found and tracked
A. Sezavar, H. Farsi, S. Mohamadzadeh
doaj +1 more source
Two‐way constraint network for RGB‐Infrared person re‐identification
RGB‐Infrared person re‐identification (RGB‐IR Re‐ID) is a task aiming to retrieve and match person images between RGB images and IR images. Since most surveillance cameras capture RGB images during the day and IR images at night, RGB‐IR Re‐ID is helpful ...
Haitang Zeng +3 more
doaj +1 more source
Part‐level attention networks for cross‐domain person re‐identification
Person re‐identification (Re‐ID) is in significant demand for intelligent security and single or multiple‐target tracking. However, there are issues in the person Re‐ID tasks, such as sharp decline in cross‐data sets detection accuracy, poor ...
Qun Zhao +9 more
doaj +1 more source

