17.1.3.2.7 Pedestrian Attributes, Pedestrian Descriptions

Chapter Contents (Back)
Pedestrian Detection. Pedestrian Attributes.
See also Pedestrian Safety Issues, Pedestrian Behavior.

Yamasaki, T.[Toshihiko], Matsunami, T.[Tomoaki], Chen, T.[Tuhan],
Human Attribute Analysis Using a Top-View Camera Based on Two-Stage Classification,
IEICE(E96-D), No. 4, April 2013, pp. 993-996.
WWW Link. 1304
BibRef
Earlier: A1, A2, Only:
Pedestrian Attribute Analysis Using a Top-View Camera in a Public Space,
MMMod12(541-550).
Springer DOI 1201
BibRef

Zhu, J.Q.[Jian-Qing], Liao, S.C.[Sheng-Cai], Lei, Z.[Zhen], Li, S.Z.[Stan Z.],
Multi-label convolutional neural network based pedestrian attribute classification,
IVC(58), No. 1, 2017, pp. 224-229.
Elsevier DOI 1703
Pedestrian attribute classification BibRef

Guo, H.[Hao], Fan, X.C.[Xiao-Chuan], Wang, S.[Song],
Human attribute recognition by refining attention heat map,
PRL(94), No. 1, 2017, pp. 38-45.
Elsevier DOI 1708
Human, attribute, recognition BibRef

Tan, Z., Yang, Y., Wan, J., Hang, H., Guo, G., Li, S.Z.,
Attention-Based Pedestrian Attribute Analysis,
IP(28), No. 12, December 2019, pp. 6126-6140.
IEEE DOI 1909
Feature extraction, Task analysis, Deep learning, Image recognition, Aggregates, Semantics, pedestrian parsing BibRef

Yaghoubi, E.[Ehsan], Borza, D.[Diana], Neves, J.[Joăo], Kumar, A.[Aruna], Proença, H.[Hugo],
An attention-based deep learning model for multiple pedestrian attributes recognition,
IVC(102), 2020, pp. 103981.
Elsevier DOI 2010
Pedestrian attributes recognition, Multi-task learning, Visual surveillance BibRef

Zha, Z.J.[Zheng-Jun], Liu, J.W.[Jia-Wei], Chen, D.[Di], Wu, F.[Feng],
Adversarial Attribute-Text Embedding for Person Search With Natural Language Query,
MultMed(22), No. 7, July 2020, pp. 1836-1846.
IEEE DOI 2007
Person retrieval with text query. Visualization, Natural languages, Feature extraction, Cameras, Semantics, Task analysis, Robustness, Person search, graph convolution network BibRef

Ji, Z.[Zhong], Hu, Z.F.[Zhen-Fei], He, E.[Erlu], Han, J.G.[Jun-Gong], Pang, Y.W.[Yan-Wei],
Pedestrian attribute recognition based on multiple time steps attention,
PRL(138), 2020, pp. 170-176.
Elsevier DOI 2010
Pedestrian attribute, Attention network, Intelligent surveillance BibRef

Wu, J.J.[Jing-Jing], Liu, H.[Hao], Jiang, J.G.[Jian-Guo], Qi, M.B.[Mei-Bin], Ren, B.[Bo], Li, X.H.[Xiao-Hong], Wang, Y.S.[Ya-Shen],
Person Attribute Recognition by Sequence Contextual Relation Learning,
CirSysVideo(30), No. 10, October 2020, pp. 3398-3412.
IEEE DOI 2010
Semantics, Task analysis, Feature extraction, Correlation, Image recognition, Image sequences, Strips, Attribute recognition, CTC loss function BibRef

An, H., Hu, H.M., Guo, Y., Zhou, Q., Li, B.,
Hierarchical Reasoning Network for Pedestrian Attribute Recognition,
MultMed(23), 2021, pp. 268-280.
IEEE DOI 2012
Feature extraction, Cognition, Semantics, Task analysis, Machine learning, Correlation, Image color analysis, reason BibRef

Ji, Z.[Zhong], He, E.[Erlu], Wang, H.R.[Hao-Ran], Yang, A.P.[Ai-Ping],
Image-attribute reciprocally guided attention network for pedestrian attribute recognition,
PRL(120), 2019, pp. 89-95.
Elsevier DOI 1904
Pedestrian attribute, Attention network, Intelligent surveillance BibRef

Yang, Y.[Yang], Tan, Z.C.[Zi-Chang], Tiwari, P.[Prayag], Pandey, H.M.[Hari Mohan], Wan, J.[Jun], Lei, Z.[Zhen], Guo, G.D.[Guo-Dong], Li, S.Z.[Stan Z.],
Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition,
IJCV(129), No. 10, October 2021, pp. 2731-2744.
Springer DOI 2110
BibRef

Moghaddam, M.[Mahnaz], Charmi, M.[Mostafa], Hassanpoor, H.[Hossein],
Jointly human semantic parsing and attribute recognition with feature pyramid structure in EfficientNets,
IET-IPR(15), No. 10, 2021, pp. 2281-2291.
DOI Link 2108
BibRef

Fan, H.N.[Hao-Nan], Hu, H.M.[Hai-Miao], Liu, S.L.[Shuai-Ling], Lu, W.Q.[Wei-Qing], Pu, S.L.[Shi-Liang],
Correlation Graph Convolutional Network for Pedestrian Attribute Recognition,
MultMed(24), 2022, pp. 49-60.
IEEE DOI 2202
Correlation, Task analysis, Lighting, Image resolution, Hair, Surveillance, Manifolds, Pedestrian Attribute Recognition, Hierarchical Relation BibRef

Lu, W.Q.[Wei-Qing], Hu, H.M.[Hai-Miao], Yu, J.Z.[Jin-Zuo], Zhou, Y.[Yibo], Wang, H.Z.[Han-Zi], Li, B.[Bo],
Orientation-Aware Pedestrian Attribute Recognition Based on Graph Convolution Network,
MultMed(26), 2024, pp. 28-40.
IEEE DOI 2401
BibRef

Fan, X.W.[Xin-Wen], Zhang, Y.[Yukang], Lu, Y.[Yang], Wang, H.Z.[Han-Zi],
PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition,
CirSysVideo(34), No. 1, January 2024, pp. 411-423.
IEEE DOI Code:
WWW Link. 2401
BibRef

Wu, J.Y.[Jun-Yi], Huang, Y.[Yan], Gao, Z.P.[Zhi-Peng], Hong, Y.T.[Ya-Ting], Zhao, J.Q.[Jian-Qiang], Du, X.S.[Xin-Sheng],
Inter-Attribute awareness for pedestrian attribute recognition,
PR(131), 2022, pp. 108865.
Elsevier DOI 2208
Pedestrian attribute recognition, Inter-Attribute awareness, Vector-Neuron capsules BibRef

Cheng, X.H.[Xin-Hua], Jia, M.X.[Meng-Xi], Wang, Q.[Qian], Zhang, J.[Jian],
A Simple Visual-Textual Baseline for Pedestrian Attribute Recognition,
CirSysVideo(32), No. 10, October 2022, pp. 6994-7004.
IEEE DOI 2210
Correlation, Annotations, Visualization, Transformers, Semantics, Training, Task analysis, Pedestrian attribute recognition, modality fusion BibRef

Zhang, H.[Hong], Yan, C.Q.[Chao-Qi], Li, X.L.[Xu-Liang], Yang, Y.F.[Yi-Fan], Yuan, D.[Ding],
MSAGNet: Multi-Stream Attribute-Guided Network for Occluded Pedestrian Detection,
SPLetters(29), 2022, pp. 2163-2167.
IEEE DOI 2212
Feature extraction, Detectors, Proposals, Annotations, Task analysis, Measurement, Standards, Pedestrian detection, deep learning, false positives BibRef

Liu, Z.Y.[Zhen-Yu], Zhang, Z.[Zhang], Li, D.[Da], Zhang, P.[Peng], Shan, C.F.[Cai-Feng],
Dual-branch self-attention network for pedestrian attribute recognition,
PRL(163), 2022, pp. 112-120.
Elsevier DOI 2212
Pedestrian attribute recognition, Self-attention, Second-order information BibRef

Ji, Z.[Zhong], Hu, Z.F.[Zhen-Fei], Wang, Y.[Yaodong], Shao, Z.[Zhuang], Pang, Y.W.[Yan-Wei],
Reinforced pedestrian attribute recognition with group optimization reward,
IVC(128), 2022, pp. 104585.
Elsevier DOI 2212
Pedestrian attribute recognition, Intelligent video surveillance, Reinforcement learning, Deep Q-learning BibRef

Mordan, T.[Taylor], Cord, M.[Matthieu], Pérez, P.[Patrick], Alahi, A.[Alexandre],
Detecting 32 Pedestrian Attributes for Autonomous Vehicles,
ITS(23), No. 8, August 2022, pp. 11823-11835.
IEEE DOI 2208
Task analysis, Autonomous vehicles, Roads, Visualization, Training, Safety, Urban areas, Autonomous vehicles, computer vision, visual scene understanding BibRef

Yang, P.[Peiyu], Li, W.X.[Wei-Xi], Wang, L.[Lu], Xu, L.S.[Li-Sheng], Deng, Q.X.[Qing-Xu],
Visible part prediction and temporal calibration for pedestrian detection,
IET-IPR(17), No. 1, 2023, pp. 42-56.
DOI Link 2301
BibRef

Peng, P.R.[Pei-Ran], Xu, T.F.[Ting-Fa], Huang, B.[Bo], Li, J.A.[Jian-An],
HAFNet: Hierarchical Attentive Fusion Network for Multispectral Pedestrian Detection,
RS(15), No. 8, 2023, pp. 2041.
DOI Link 2305
BibRef

Hsu, W.Y.[Wei-Yen], Yang, P.Y.[Pei-Yu],
Pedestrian Detection Using Multi-Scale Structure-Enhanced Super-Resolution,
ITS(24), No. 11, November 2023, pp. 12312-12322.
IEEE DOI 2311
BibRef

Zuo, X.[Xin], Wang, Z.[Zhi], Shen, J.F.[Ji-Feng], Yang, W.K.[Wan-Kou],
Improving multispectral pedestrian detection with scale-aware permutation attention and adjacent feature aggregation,
IET-CV(17), No. 7, 2023, pp. 726-738.
DOI Link 2310
adjacent-branch feature aggregation, attention mechanism, multi-modality feature fusion, multispectral pedestrian detection BibRef

Cao, Y.[Yilu], Fang, Y.C.[Yu-Chun], Zhang, Y.F.[Yao-Fang], Hou, X.Y.[Xiao-Yu], Zhang, K.L.[Kun-Lin], Huang, W.[Wei],
A novel self-boosting dual-branch model for pedestrian attribute recognition,
SP:IC(115), 2023, pp. 116961.
Elsevier DOI 2306
Feature enhancement, Multi-scale analysis, Pedestrian attribute recognition BibRef

Shen, J.F.[Ji-Feng], Guo, T.[Teng], Zuo, X.[Xin], Fan, H.[Heng], Yang, W.K.[Wan-Kou],
SSPNet: Scale and spatial priors guided generalizable and interpretable pedestrian attribute recognition,
PR(148), 2024, pp. 110194.
Elsevier DOI Code:
WWW Link. 2402
Pedestrian attribute recognition, Attribute localization, Prior knowledge, Generalizability, Interpretability BibRef


Castrillón-Santana, M.[Modesto], Sánchez-Nielsen, E.[Elena], Freire-Obregón, D.[David], Santana, O.J.[Oliverio J.], Hernández-Sosa, D.[Daniel], Lorenzo-Navarro, J.[Javier],
Evaluation of a Visual Question Answering Architecture for Pedestrian Attribute Recognition,
CAIP23(I:13-22).
Springer DOI 2312
BibRef

Greco, A.[Antonio], Vento, B.[Bruno],
PAR Contest 2023: Pedestrian Attributes Recognition with Multi-task Learning,
CAIP23(I:3-12).
Springer DOI 2312
BibRef

Specker, A.[Andreas], Cormier, M.[Mickael], Beyerer, J.[Jürgen],
UPAR: Unified Pedestrian Attribute Recognition and Person Retrieval,
WACV23(981-990)
IEEE DOI 2302
Systematics, Image recognition, Annotations, Lighting, Video surveillance, Artificial intelligence, visual reasoning) BibRef

Cormier, M.[Mickael], Specker, A.[Andreas], Jacques, J.C.S.[Julio C. S.], Florin, L.[Lucas], Metzler, J.[Jürgen], Moeslund, T.B.[Thomas B.], Nasrollahi, K.[Kamal], Escalera, S.[Sergio], Beyerer, J.[Jürgen],
UPAR Challenge: Pedestrian Attribute Recognition and Attribute-based Person Retrieval - Dataset, Design, and Results,
RealWorld23(166-175)
IEEE DOI 2302
Training, Resistance, Protocols, Annotations, Surveillance, Training data, Transformers BibRef

Zheng, X.Q.[Xiao-Qiang], Yu, Z.X.[Zhen-Xia], Chen, L.[Lin], Zhu, F.[Fan], Wang, S.L.[Shi-Long],
Multi-label Contrastive Focal Loss for Pedestrian Attribute Recognition,
ICPR21(7349-7356)
IEEE DOI 2105
Training, Visualization, Force, Complex networks, Feature extraction, Pattern recognition, Convolutional neural networks, Metrics Learning BibRef

Aggarwal, S.[Surbhi], Babu, R.V.[R. Venkatesh], Chakraborty, A.[Anirban],
Text-based Person Search via Attribute-aided Matching,
WACV20(2606-2614)
IEEE DOI 2006
pedestrian images that best match a given text query. Feature extraction, Semantics, Task analysis, Training, Footwear, Visualization BibRef

Gao, D., Wu, Z., Zhang, W.,
Safe-Net: Solid and Abstract Feature Extraction Network for Pedestrian Attribute Recognition,
ICIP19(1655-1659)
IEEE DOI 1910
Pedestrian Attribute, GAN, Image Segmentation BibRef

Tang, C., Sheng, L., Zhang, Z., Hu, X.,
Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization,
ICCV19(4996-5005)
IEEE DOI 2004
image representation, learning (artificial intelligence), pedestrians, video surveillance BibRef

He, X.T.[Xing-Ting], Shi, Q.Y.[Qiu-Yue], Su, F.[Fei], Zhao, Z.C.[Zhi-Cheng], Zhuang, B.[Bojin],
Pedestrian Attribute Recognition Based on Mtcnn with Online Batch Weighted Loss,
ICIP19(2461-2465)
IEEE DOI 1910
Pedestrian Attribute Recognition, Grouping, CNN, Multi-task Learning, Online Batch Weighted Loss BibRef

Wang, J.Y.[Jing-Ya], Zhu, X.T.[Xia-Tian], Gong, S.G.[Shao-Gang], Li, W.[Wei],
Attribute Recognition by Joint Recurrent Learning of Context and Correlation,
ICCV17(531-540)
IEEE DOI 1802
few training samples, noise, clutter. Pedestrians. image colour analysis, learning (artificial intelligence), object detection, Surveillance BibRef

Ji, Z., Zheng, W., Pang, Y.,
Deep pedestrian attribute recognition based on LSTM,
ICIP17(151-155)
IEEE DOI 1803
Attribute prediction, LSTM, Pedestrian attribute recognition, Visual surveillance. BibRef

Zhu, J.Q.[Jian-Qing], Liao, S.C.[Sheng-Cai], Lei, Z.[Zhen], Li, S.Z.[Stan Z.],
Improve Pedestrian Attribute Classification by Weighted Interactions from Other Attributes,
HIS14(545-557).
Springer DOI 1504
BibRef

Zhu, J.Q.[Jian-Qing], Liao, S.C.[Sheng-Cai], Lei, Z.[Zhen], Yi, D.[Dong], Li, S.Z.,
Pedestrian Attribute Classification in Surveillance: Database and Evaluation,
LSVSM13(331-338)
IEEE DOI 1403
feature extraction BibRef

Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Surveys, Evaluation, Datasets, Human Detection, People Detection, Pedestrians .


Last update:Mar 25, 2024 at 16:07:51