Multi-feature sparse similar representation for person identification
Person identification with a single feature (eg, face recognition, speaker verification, person
re-identification, etc.) has been studied extensively for many years, while few works focus on …
re-identification, etc.) has been studied extensively for many years, while few works focus on …
Multilinear subspace learning for Person Re-Identification based fusion of high order tensor features
A Chouchane, M Bessaoudi, H Kheddar… - … Applications of Artificial …, 2024 - Elsevier
Video surveillance image analysis and processing is an important field in computer vision
and among the challenging tasks for Person Re-Identification (PRe-ID). The latter aims at …
and among the challenging tasks for Person Re-Identification (PRe-ID). The latter aims at …
Human body multiple parts parsing for person reidentification based on xception
A mass of information grows explosively in socially networked industries, as extensive data,
such as images and texts, is captured by vast sensors. Pedestrians are the main initiators of …
such as images and texts, is captured by vast sensors. Pedestrians are the main initiators of …
Cross-view transformation based sparse reconstruction for person re-identification
Based on minimum reconstruction error criterion and the intrinsic sparse property of natural
data, sparse representation (SR) has shown promising performance on various image …
data, sparse representation (SR) has shown promising performance on various image …
Neither global nor local: Regularized patch-based representation for single sample per person face recognition
This paper presents a regularized patch-based representation for single sample per person
face recognition. We represent each image by a collection of patches and seek their sparse …
face recognition. We represent each image by a collection of patches and seek their sparse …
Multi‐feature subspace representation network for person re‐identification via bird's‐eye view image
Person re‐identification (Re‐ID) is one of the most remarkable research topics that widely
applied in our daily lives. For person Re‐ID in bird's eye scenes, traditional computer vision …
applied in our daily lives. For person Re‐ID in bird's eye scenes, traditional computer vision …
Local structure-based sparse representation for face recognition
This article presents a simple yet effective face recognition method, called local structure-
based sparse representation classification (LS_SRC). Motivated by the “divide-and …
based sparse representation classification (LS_SRC). Motivated by the “divide-and …
Partial person re-identification
We address a new partial person re-identification (re-id) problem, where only a partial
observation of a person is available for matching across different non-overlapping camera …
observation of a person is available for matching across different non-overlapping camera …
Kernel cross-view collaborative representation based classification for person re-identification
R Prates, WR Schwartz - Journal of Visual Communication and Image …, 2019 - Elsevier
Person re-identification aims at the maintenance of a global identity as a person moves
among non-overlapping surveillance cameras. It is a hard task due to different illumination …
among non-overlapping surveillance cameras. It is a hard task due to different illumination …
Partial person re-identification with two-stream network and reconstruction
S Zhu, X Gong, Z Kuang, J Du - Neurocomputing, 2020 - Elsevier
Partial person re-identification is a challenging issue at present. However, affected by
occlusions, features in person re-identification cannot be detected and the traditional person …
occlusions, features in person re-identification cannot be detected and the traditional person …