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Pedestrian Attribute Recognition: A Survey [article]

Xiao Wang, Shaofei Zheng, Rui Yang, Bin Luo, Jin Tang
2019 arXiv   pre-print
Firstly, we introduce the background of pedestrian attributes recognition (PAR, for short), including the fundamental concepts of pedestrian attributes and corresponding challenges.  ...  Thirdly, we analyse the concept of multi-task learning and multi-label learning, and also explain the relations between these two learning algorithms and pedestrian attribute recognition.  ...  By evaluating existing person attributes recognition arXiv:1901.07474v1 [cs.CV] 22 Jan 2019 Figure 2 . 2 The structure of this survey on pedestrian attributes recognition.  ... 
arXiv:1901.07474v1 fatcat:h5krexsotbecvlwi2w4uw2y3ay

Multi-branch Gabor Wavelet Layers for Pedestrian Attribute Recognition

Imran N. Junejo
2021 IEEE Access  
Surveillance cameras are everywhere, keeping an eye on pedestrians as they navigate through a scene. With this context, our paper addresses the problem of pedestrian attribute recognition (PAR).  ...  INDEX TERMS Computer vision, pedestrian attribute recognition, deep learning. VOLUME 9, 2021 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.  ...  of pedestrian attribute recognition.  ... 
doi:10.1109/access.2021.3061538 fatcat:f4qxpgfkwzbzfeu4isnjkivj6m

Depthwise Separable Convolutional Neural Networks for Pedestrian Attribute Recognition

Imran N. Junejo, Naveed Ahmed
2021 SN Computer Science  
In this work, we propose using Depthwise Separable Convolution Neural Network (DS-CNN) to solve the pedestrian attribute recognition problem.  ...  This is a multi-label problem, i.e., a subject in a scene can have multiple attributes that we are hoping to recognize, such as shoes types, clothing type, wearing some accessory, or carrying some object  ...  of pedestrian attribute recognition.  ... 
doi:10.1007/s42979-021-00493-z fatcat:3jszrgmzwzgzflnsw66y7boo3q

Pedestrian attribute recognition using two-branch trainable Gabor wavelets network

Imran N. Junejo, Khanh N.Q. Le
2021 PLoS ONE  
Keeping an eye on pedestrians as they navigate through a scene, surveillance cameras are everywhere. With this context, our paper addresses the problem of pedestrian attribute recognition (PAR).  ...  Whereas other researchers are using fixed Gabor filters with the CNN, the proposed layers are learnable and adapt to the dataset for a better recognition.  ...  of pedestrian attribute recognition.  ... 
doi:10.1371/journal.pone.0251667 pmid:34061854 fatcat:5h6maxp4njhwrdihub7kzjb7xm

Linking nighttime outdoor lighting attributes to pedestrians' feeling of safety: An interactive survey approach

Boris A. Portnov, Rami Saad, Tamar Trop, Doron Kliger, Alina Svechkina, Quan Yuan
2020 PLoS ONE  
Using this app, a representative sample of observers reported their impressions of PSL attributes and FoS in three cities in Israel, following a set of predetermined routes and points.  ...  Public space lighting (PSL) contributes to pedestrians' feeling of safety (FoS) in urban areas after natural dark.  ...  The results of this study hold a potential for improving pedestrians' FoS through better design of PSL by soliciting interactive responses from local residents and adjusting PSL attributes to their needs  ... 
doi:10.1371/journal.pone.0242172 pmid:33170899 fatcat:w7asqnk4lbcqri7tljn73y6ewu

Human Attribute Recognition— A Comprehensive Survey

Ehsan Yaghoubi, Farhad Khezeli, Diana Borza, SV Aruna Kumar, João Neves, Hugo Proença
2020 Applied Sciences  
Human Attribute Recognition (HAR) is a highly active research field in computer vision and pattern recognition domains with various applications such as surveillance or fashion.  ...  To provide insights for future algorithm design and dataset collections, in this survey, (1) we provide an in-depth analysis of existing HAR techniques, concerning the advances proposed to address the  ...  Meanwhile, Reference [16] is the only work similar to our survey that is about pedestrian attribute recognition.  ... 
doi:10.3390/app10165608 fatcat:yrzjf2v73fabbagqfyxfuhzfla

PAIDS: toward pedestrian high-precision position and attribute information detection

Shunya Yamada, Hiroaki Takada, Yousuke Watanabe, Saya Kitamura, Zhengshu Zhou
2021 International Journal of Mechatronics and Automation  
In this paper, the authors propose a pedestrian position and attribute information detecting system to extract both pedestrian high-precision position and attribute information in real-time based on LiDAR  ...  On the other hand, smartphone sensors can send location information, user identifier, and the attribute information of a user, but it has a significant margin of error in GPS data.  ...  Junejo and Ahmed (2020) presented a multi-branch convolutional neural network that uses depthwise separable convolution layers to conduct pedestrian attribute recognition.  ... 
doi:10.1504/ijma.2021.10043870 fatcat:um3swugfefcwpgsgjmcqpkuyfe

Human Action Recognition and Prediction: A Survey [article]

Yu Kong, Yun Fu
2022 arXiv   pre-print
In this paper, we survey the complete state-of-the-art techniques in action recognition and prediction.  ...  Many attempts have been devoted in the last a few decades in order to build a robust and effective framework for action recognition and prediction.  ...  We have presented a complete survey of state-of-the-art techniques for action recognition and prediction from videos.  ... 
arXiv:1806.11230v3 fatcat:2a2d7fuezbdqzfgrjwkcuqvmbu

Sudden Event Recognition: A Survey

Nor Suriani, Aini Hussain, Mohd Zulkifley
2013 Sensors  
This survey aims to detect and characterize a sudden event, which is a subset of an abnormal event in several video surveillance applications.  ...  studies of a sudden event recognition system and (4) various decision-making approaches for sudden event recognition.  ...  Because of the rapid development in event recognition systems [5] [6] [7] , our survey focuses on low-level processing aspects of sudden event recognition.  ... 
doi:10.3390/s130809966 pmid:23921828 pmcid:PMC3812589 fatcat:ndufzzb6a5f6rfozjjx7rcsavu

Going Deeper into Action Recognition: A Survey [article]

Samitha Herath, Mehrtash Harandi, Fatih Porikli
2017 arXiv   pre-print
used to be good in a short time.  ...  This motivated us to provide a comprehensive review of the notable steps taken towards recognizing human actions.  ...  Acknowledgment We would like to thank our reviewers for pointing out the ways we could improve this survey. Further, we would like to thank Dr. Anoop Cherian and Dr.  ... 
arXiv:1605.04988v2 fatcat:7727tjctgfffzlnig5rvicxjgq

Vision-based human activity recognition: a survey

Djamila Romaissa Beddiar, Brahim Nini, Mohammad Sabokrou, Abdenour Hadid
2020 Multimedia tools and applications  
Human activity recognition (HAR) systems attempt to automatically identify and analyze human activities using acquired information from various types of sensors.  ...  Therefore, the current survey aims to provide the reader with an up to date analysis of vision-based HAR related literature and recent progress in the field.  ...  We can also mention rule-based methods that characterize the activity using a set of rules or attributes [19, 211] .  ... 
doi:10.1007/s11042-020-09004-3 fatcat:f5n7xop4vveannwcvw47ewhsrq

A survey on still image based human action recognition

Guodong Guo, Alice Lai
2014 Pattern Recognition  
It focuses on identifying a person's action or behavior from a single image.  ...  Unlike the traditional action recognition approaches where videos or image sequences are used, a still image contains no temporal information for action characterization.  ...  This can also be indicated by a series of survey papers in the literature.  ... 
doi:10.1016/j.patcog.2014.04.018 fatcat:wja5p7wgf5e2jkfst2w33zv5jy

A survey of face recognition techniques under occlusion [article]

Dan Zeng, Raymond Veldhuis, Luuk Spreeuwers
2020 arXiv   pre-print
As a part of this review, we introduce face detection under occlusion, a preliminary step in face recognition.  ...  The limited capacity to recognize faces under occlusions is a long-standing problem that presents a unique challenge for face recognition systems and even for humans.  ...  However, there are at least two reasons why a new survey on occluded face recognition is needed.  ... 
arXiv:2006.11366v1 fatcat:pttwdep5zbellldwricxfzgzki

A survey of face recognition techniques under occlusion

Dan Zeng, Raymond Veldhuis, Luuk Spreeuwers
2021 IET Biometrics  
As a part of this review, face detection under occlusion, a preliminary step in face recognition.  ...  The limited capacity to recognise faces under occlusions is a long-standing problem that presents a unique challenge for face recognition systems and even humans.  ...  However, there are at least two reasons why a new survey on occluded face recognition is needed.  ... 
doi:10.1049/bme2.12029 fatcat:bkks2gmblfabhgte4snl4x54eu

Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms

J. Candamo, M. Shreve, D.B. Goldgof, D.B. Sapper, R. Kasturi
2010 IEEE transactions on intelligent transportation systems (Print)  
The main goal of this survey is to provide researchers in the field with a summary of progress achieved to date and to help identify areas where further research is needed.  ...  A list of relevant behavior-recognition papers is presented, including behaviors, data sets, implementation details, and results.  ...  A. Paper Overview The main focus of this survey is to offer a comprehensive survey of image-processing human behavior recognition algorithms in the context of transit applications.  ... 
doi:10.1109/tits.2009.2030963 fatcat:tiajxro6sbc23p2rdaam2pwyna
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