Results 1 to 10 of about 1,051,305 (274)
Exploiting prunability for person re-identification [PDF]
EURASIP Journal on Image and Video Processing, 2021 Recent years have witnessed a substantial increase in the deep learning (DL) architectures proposed for visual recognition tasks like person re-identification, where individuals must be recognized over multiple distributed cameras.
Hugo Masson +6 more
doaj +5 more sources
Occluded Person Re-identification [PDF]
2018 IEEE International Conference on Multimedia and Expo (ICME), 2018 Person re-identification (re-id) suffers from a serious occlusion problem when applied to crowded public places. In this paper, we propose to retrieve a full-body person image by using a person image with occlusions.
Chen, Zeyu +3 more
core +3 more sources
Faster Person Re-Identification [PDF]
, 2020 Fast person re-identification (ReID) aims to search person images quickly and accurately. The main idea of recent fast ReID methods is the hashing algorithm, which learns compact binary codes and performs fast Hamming distance and counting sort. However,
B Ma +12 more
core +4 more sources
Review of person re‐identification techniques
IET Computer Vision, 2014 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 +2 more sources
Person Re-identification with Correspondence Structure Learning [PDF]
, 2015 This paper addresses the problem of handling spatial misalignments due to camera-view changes or human-pose variations in person re-identification. We first introduce a boosting-based approach to learn a correspondence structure which indicates the patch-
Yang Shen +5 more
openalex +4 more sources
Person Re-identification by Attributes [PDF]
Procedings of the British Machine Vision Conference 2012, 2012 Visually identifying a target individual reliably in a crowded environment observed by a distributed camera network is critical to a variety of tasks in managing business information, border control, and crime prevention. Automatic re-identification of a human candidate from public space CCTV video is challenging due to spatiotemporal visual feature ...
Ryan Layne +2 more
openalex +3 more sources
Person Re-identification in the Wild [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 We present a novel large-scale dataset and comprehensive baselines for end-to-end pedestrian detection and person recognition in raw video frames. Our baselines address three issues: the performance of various combinations of detectors and recognizers, mechanisms for pedestrian detection to help improve overall re-identification accuracy and assessing ...
Liang Zheng +5 more
openalex +5 more sources
Unifying Person and Vehicle Re-Identification [PDF]
IEEE Access, 2020 Person and vehicle re-identification (re-ID) are important challenges for the analysis of the burgeoning collection of urban surveillance videos. To efficiently evaluate such videos, which are populated with both vehicles and pedestrians, it would be ...
Daniel Organisciak +4 more
doaj +3 more sources
Learning Correspondence Structures for Person Re-identification [PDF]
IEEE Transactions on Image Processing, 2017 This paper addresses the problem of handling spatial misalignments due to camera-view changes or human-pose variations in person re-identification. We first introduce a boosting-based approach to learn a correspondence structure which indicates the patch-
Lin, Weiyao +6 more
core +4 more sources
Night Person Re-Identification and a Benchmark [PDF]
IEEE Access, 2019 Person re-identification is an important problem in computer vision fields due to its widely application. However, most of existing person re-identification methods are evaluated in daytime scenarios which is still far from real applications.
Jian'an Zhang, Yuan Yuan, Qi Wang
doaj +3 more sources