Results 131 to 140 of about 278,178 (274)
Person Re-identification Using Spatial Covariance Regions of Human Body Parts [PDF]
, 2010 Sławomir Bąk +3 more
openalex +1 more source
Unsupervised Domain Adaptive Re-Identification: Theory and Practice [PDF]
arXiv, 2018 We study the problem of unsupervised domain adaptive re-identification (re-ID) which is an active topic in computer vision but lacks a theoretical foundation. We first extend existing unsupervised domain adaptive classification theories to re-ID tasks.
arxiv
LiDAR-Based Person Re-Identification
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Camera-based person re-identification (ReID) systems have been widely applied in the field of public security. However, cameras often lack the perception of 3D morphological information of human and are susceptible to various limitations, such as inadequate illumination, complex background, and personal privacy.
Guo, Wenxuan +6 more
openaire +2 more sources
Co-Metric Learning for Person Re-Identification
Advances in Multimedia, 2018 Person re-identification, aiming to identify the same pedestrian images across disjoint camera views, is a key technique of intelligent video surveillance. Although existing methods have developed both theories and experimental results, most of effective
Qingming Leng
doaj +1 more source
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets [PDF]
arXiv, 2016 Person re-identification (re-id) is a critical problem in video analytics applications such as security and surveillance. The public release of several datasets and code for vision algorithms has facilitated rapid progress in this area over the last few years.
arxiv
Person re‐identification by multi‐statistics on pyramid of covariance matrices [PDF]
, 2013 Mingyong Zeng +4 more
openalex +1 more source
Mathematical Biosciences and EngineeringIn recent years, significant progress has been made in video-based person re-identification (Re-ID). The key challenge in video person Re-ID lies in effectively constructing discriminative and robust person feature representations. Methods based on local
Hai Lu, Enbo Luo, Yong Feng , Yifan Wang
doaj +1 more source
Person re‐identification based on efficient multi‐channel spatial histogram [PDF]
, 2014 Mingyong Zeng +3 more
openalex +1 more source
Multi-modal Multi-platform Person Re-Identification: Benchmark and Method [PDF]
arXivConventional person re-identification (ReID) research is often limited to single-modality sensor data from static cameras, which fails to address the complexities of real-world scenarios where multi-modal signals are increasingly prevalent. For instance, consider an urban ReID system integrating stationary RGB cameras, nighttime infrared sensors, and ...
arxiv
Multi-Scale Learning for Low-Resolution Person Re-Identification [PDF]
, 2015 Xiang Li +4 more
openalex +1 more source