Results 11 to 20 of about 278,178 (274)

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 ...
Qi Tian, Manmohan Chandraker, Hengheng Zhang, Shaoyan Sun, Liang Zheng, Yi Yang   +5 more
semanticscholar   +7 more sources

Deep Learning for Person Re-identification: A Survey and Outlook [PDF]

arXiv, 2020
Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-overlapping cameras. With the advancement of deep neural networks and increasing demand of intelligent video surveillance, it has gained significantly increased interest in the computer vision community.
Mang Ye, Jianbing Shen, Gaojie Lin, T. Xiang, Ling Shao, S. Hoi   +5 more
arxiv   +3 more sources

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, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger   +6 more
doaj   +5 more sources

Person re-identification by Local Maximal Occurrence representation and metric learning [PDF]

Computer Vision and Pattern Recognition, 2014
Person re-identification is an important technique towards automatic search of a person's presence in a surveillance video. Two fundamental problems are critical for person re-identification, feature representation and metric learning.
Shengcai Liao, Yang Hu, Xiangyu Zhu, S. Li   +3 more
semanticscholar   +2 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, Shaogang Gong, Timothy M. Hospedales   +2 more
openaire   +3 more sources

Integration of Multi-Head Self-Attention and Convolution for Person Re-Identification [PDF]

Sensors, 2022
Person re-identification is essential to intelligent video analytics, whose results affect downstream tasks such as behavior and event analysis. However, most existing models only consider the accuracy, rather than the computational complexity, which is ...
Yalei Zhou, Peng Liu, Yue Cui, Chunguang Liu, Wenli Duan   +4 more
doaj   +2 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, Dimitrios Sakkos, Edmond S. L. Ho, Nauman Aslam, Hubert P. H. Shum   +4 more
doaj   +3 more sources

Dynamic Weighting Network for Person Re-Identification [PDF]

Sensors, 2023
Recently, hybrid Convolution-Transformer architectures have become popular due to their ability to capture both local and global image features and the advantage of lower computational cost over pure Transformer models.
Guang Li, Peng Liu, Xiaofan Cao, Chunguang Liu   +3 more
doaj   +2 more sources

Deeply-Learned Part-Aligned Representations for Person Re-identification [PDF]

IEEE International Conference on Computer Vision, 2017
In this paper, we address the problem of person re-identification, which refers to associating the persons captured from different cameras. We propose a simple yet effective human part-aligned representation for handling the body part misalignment ...
Liming Zhao, Xi Li, Yueting Zhuang, Jingdong Wang   +3 more
semanticscholar   +3 more sources

Unsupervised Person Re-identification: Clustering and Fine-tuning [PDF]

arXiv, 2017
The superiority of deeply learned pedestrian representations has been reported in very recent literature of person re-identification (re-ID). In this paper, we consider the more pragmatic issue of learning a deep feature with no or only a few labels. We propose a progressive unsupervised learning (PUL) method to transfer pretrained deep representations
Hehe Fan, Liang Zheng, Yi Yang
arxiv   +3 more sources