An Overview of Text-based Person Search: Recent Advances and Future Directions

K Niu, Y Liu, Y Long, Y Huang, L Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Due to the practical significance in smart video surveillance systems, Text-Based Person
Search (TBPS) has been one of the research hotspots recently, which refers to searching for …

Person search over security video surveillance systems using deep learning methods: A review

S Irene, AJ Prakash, VR Uthariaraj - Image and Vision Computing, 2024 - Elsevier
Person search has become one of the most critical and challenging applications in today's
video surveillance systems. It helps in locating a person in surveillance videos, which is …

Contrastive completing learning for practical text–image person ReID: Robuster and cheaper

G Du, T Gong, L Zhang - Expert Systems with Applications, 2024 - Elsevier
Text–image person re-identification (TIReID) seeks to leverage textual descriptions for the
retrieval of target pedestrians. Due to its versatility, TIReID has gained increasing attention …

Text-based person search via cross-modal alignment learning

X Ke, H Liu, P Xu, X Lin, W Guo - Pattern Recognition, 2024 - Elsevier
Text-based person search aims to use text descriptions to search for corresponding person
images. However, due to the obvious pattern differences in image and text modalities, it is …

Mind the Inconsistent Semantics in Positive Pairs: Semantic Aligning and Multimodal Contrastive Learning for Text-based Pedestrian Search

Z Lu, R Lin, H Hu - IEEE Transactions on Information Forensics …, 2024 - ieeexplore.ieee.org
Aiming at retrieving pedestrian images based on a provided textual description query, Text-
Based Pedestrian Search (TBPS) has gained attention due to its implications in public …

Cross-Modal Feature Fusion-based Knowledge Transfer for Text-based Person Search

K You, W Chen, C Wang, H Sun… - IEEE Signal Processing …, 2024 - ieeexplore.ieee.org
Text-based person search aims to retrieve corresponding images of person from a large
gallery based on text descriptions. Existing methods strive to bridge the modality gap …

Fine-Granularity Alignment for Text-Based Person Retrieval via Semantics-Centric Visual Division

Z Wei, Z Zhang, P Wu, J Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Text-based Person Retrieval aims to search the target pedestrian image from video
surveillance or a large image database with a text description. Previous works have …

基于深度学习的多模态行人重识别综述.

张国庆, 杨珊, 汪海蕊, 王准, 杨艳… - Journal of Nanjing …, 2024 - search.ebscohost.com
摘要行人重识别(Re⁃ ID) 旨在跨像机检索同一目标行人, 它是智能视频监控领域的一项关键
技术. 由于监控场景的复杂性, 单模态行人重识别在低光, 雾天等极端情况下的适用性较差 …

Multi-modal person re-identification based on deep learning: a review

G Zhang, S Yang, H Wang, Z Wang… - Nanjing Xinxi …, 2024 - search.proquest.com
Person re-identification (Re-ID), which involves retrieving the same person across cameras,
is a key technology in the field of intelligent video surveillance. However, due to the …

Accurate and Lightweight Learning for Specific Domain Image-Text Retrieval

R Yang, S Wang, J Tao, Y Han, Q Lin, Y Guo, B Hou… - ACM Multimedia … - openreview.net
Recent advances in vision-language pre-trained models like CLIP have greatly enhanced
general domain image-text retrieval performance. This success has led scholars to develop …