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GAN-based Pose-aware Regulation for Video-based Person Re-identification [article]

Alessandro Borgia and Yang Hua and Elyor Kodirov and Neil M. Robertson
2019 arXiv   pre-print
Video-based person re-identification deals with the inherent difficulty of matching unregulated sequences with different length and with incomplete target pose/viewpoint structure.  ...  Another one performs an explicit pose-based alignment of sequence pairs to promote coherent feature matching, namely Weighted-Pose Regulation (WPR).  ...  In summary, the main contributions of this paper are the following: -To the best of our knowledge, this is the first work to apply a GAN-based generative model to video-based person re-identification for  ... 
arXiv:1903.11552v1 fatcat:ypujostuwvaozaotf2t3hzoyze

GAN-Based Pose-Aware Regulation for Video-Based Person Re-Identification

Alessandro Borgia, Yang Hua, Elyor Kodirov, Neil Robertson
2019 2019 IEEE Winter Conference on Applications of Computer Vision (WACV)  
Video-based person re-identification deals with the inherent difficulty of matching unregulated sequences with different length and with incomplete target pose/viewpoint structure.  ...  Another one performs an explicit pose-based alignment of sequence pairs to promote coherent feature matching, namely Weighted-Pose Regulation (WPR).  ...  In summary, the main contributions of this paper are the following: -To the best of our knowledge, this is the first work to apply a GAN-based generative model to video-based person re-identification for  ... 
doi:10.1109/wacv.2019.00130 dblp:conf/wacv/BorgiaHKR19 fatcat:s6yzanspdvcojgh7x2cjtusmoq

Responsible AI at the edge: towards privacy-preserving smart cities

Luca Zanella, Yiming Wang, Nicola Dall'Asen, Alberto Ancilotto, Francesco Paissan, Elisa Ricci, Elisabetta Farella, Alessio Brutti, Marco Pistore
2022 Zenodo  
However, these data may contain sensitive personal information, calling for responsible AI solutions.  ...  We demonstrate the proposed solution under an EU project MARVEL, where both video and audio anonymisation components are deployed at the edge level, enabled by a model compression component for complexity  ...  Combining state-of-the-art solutions based on TinyML and GANs, we aim to develop lightweight GAN-based approaches for video and audio anonymisation on edge devices where data is collected.  ... 
doi:10.5281/zenodo.5960431 fatcat:suhbfkmpn5gx7ps3jy4f3sspwa

Recent Advances in Deep Learning Techniques for Face Recognition [article]

Md. Tahmid Hasan Fuad, Awal Ahmed Fime, Delowar Sikder, Md. Akil Raihan Iftee, Jakaria Rabbi, Mabrook S. Al-rakhami, Abdu Gumae, Ovishake Sen, Mohtasim Fuad, Md. Nazrul Islam
2021 arXiv   pre-print
Additionally, we summarize different datasets used widely for FR tasks and discuss challenges related to illumination, expression, pose variations, and occlusion.  ...  We discuss the papers related to different algorithms, architectures, loss functions, activation functions, datasets, challenges, improvement ideas, current and future trends of DL-based FR systems.  ...  In [170] Xiao et al. proposed a Geometric Structure Preserving-based GAN for multi-pose face frontalization.  ... 
arXiv:2103.10492v1 fatcat:h526swzntjgmlcjmwnuidqg44u

Deep Insights of Deepfake Technology : A Review

Bahar Uddin Mahmud, Afsana Sharmin
2020 Zenodo  
Deepfake contents could be dangerous for individuals as well as for our communities, organizations, countries religions etc.  ...  Our study revealed that although Deepfake is a threat to our societies, proper measures and strict regulations could prevent this.  ...  Finally they blend the mouth texture on to a re time target video and match the pose.  ... 
doi:10.5281/zenodo.4731421 fatcat:l75l43uwdvbndlb3kbg6qtjgwe

Trends in Vehicle Re-identification Past, Present, and Future: A Comprehensive Review [article]

Zakria, Jianhua Deng, Muhammad Saddam Khokhar, Muhammad Umar Aftab, Jingye Cai, Rajesh Kumar, Jay Kumar
2021 arXiv   pre-print
Vehicle Re-identification (re-id) over surveillance camera network with non-overlapping field of view is an exciting and challenging task in intelligent transportation systems (ITS).  ...  Our paper specifically focuses on vision-based vehicle re-id approaches, including vehicle appearance, license plate, and spatio-temporal characteristics.  ...  Acknowledgments I am grateful to my worthy supervisor as well as all the lab mates for their endless support.  ... 
arXiv:2102.09744v1 fatcat:s4pnrs7eljbpxpoo2dhtfstczi

Trends in Vehicle Re-Identification Past, Present, and Future: A Comprehensive Review

Zakria, Jianhua Deng, Yang Hao, Muhammad Saddam Khokhar, Rajesh Kumar, Jingye Cai, Jay Kumar, Muhammad Umar Aftab
2021 Mathematics  
Vehicle Re-identification (re-id) over surveillance camera network with non-overlapping field of view is an exciting and challenging task in intelligent transportation systems (ITS).  ...  Our paper specifically focuses on vision-based vehicle re-id approaches, including vehicle appearance, license plate, and spatio-temporal characteristics.  ...  Furthermore, recently GANs are also utilized for re-id problems (person re-id and vehicle re-id) [74, 75] . Zheng et al.  ... 
doi:10.3390/math9243162 fatcat:hawixmc55ndspmp3oti525alma

A Survey of Vehicle Re-identification Based on Deep Learning

Hongbo Wang, Jiaying Hou, Na Chen
2019 IEEE Access  
There are mainly five types of deep learning-based methods designed for vehicle re-identification, i.e. methods based on local features, methods based on representation learning, methods based on metric  ...  Vehicle re-identification is one of the core technologies of intelligent transportation systems, and it is crucial for the construction of smart cities.  ...  Methods based on metric learning are widely used for face recognition, person re-identification, and vehicle re-identification.  ... 
doi:10.1109/access.2019.2956172 fatcat:gxzry6py4bhrjnb2qxqtu4r27u

Recent Advances in Deep Learning Techniques for Face Recognition

Md. Tahmid Hasan Fuad, Awal Ahmed Fime, Delowar Sikder, Md. Akil Raihan Iftee, Jakaria Rabbi, Mabrook S. Al-Rakhami, Abdu Gumae, Ovishake Sen, Mohtasim Fuad, Md. Nazrul Islam
2021 IEEE Access  
Additionally, we summarize different datasets used widely for FR tasks and discuss challenges related to illumination, expression, pose variations, and occlusion.  ...  We discuss the papers related to different algorithms, architectures, loss functions, activation functions, datasets, challenges, improvement ideas, current and future trends of DL-based FR systems.  ...  For video face recognition, an attention-aware deep reinforcement learning (ADRL) [119] was proposed.  ... 
doi:10.1109/access.2021.3096136 fatcat:g5sftnugunbczppu56dbymlhra

The State of Aerial Surveillance: A Survey [article]

Kien Nguyen, Clinton Fookes, Sridha Sridharan, Yingli Tian, Feng Liu, Xiaoming Liu, Arun Ross
2022 arXiv   pre-print
More specifically, for each of these four tasks, we first discuss unique challenges in performing these tasks in an aerial setting compared to a ground-based setting.  ...  The main object of interest is humans, where single or multiple subjects are to be detected, identified, tracked, re-identified and have their behavior analyzed.  ...  The dataset contains videos and annotations for multiple tasks, including action recognition, pose estimation and person re-identification.  ... 
arXiv:2201.03080v2 fatcat:x7o6zgx2x5cwjkz5ftuizll7nu

Recognizing Partial Biometric Patterns [article]

Lingxiao He, Zhenan Sun, Yuhao Zhu, Yunbo Wang
2018 arXiv   pre-print
In this area, deep learning based methods are widely applied to match these partial captured objects caused by occlusions, variations of postures or just partial out of view in person re-identification  ...  The applicability and effectiveness of the proposed method are demonstrated by the results from experiments on three person re-identification datasets (Market1501, CUHK03, DukeMTMC-reID), two partial person  ...  Partial Person Re-identification Partial person re-id has become an emerging problem in video surveillance.  ... 
arXiv:1810.07399v1 fatcat:wy3fbzqb4rewngtm4yoclpir3m

Privacy–Enhancing Face Biometrics: A Comprehensive Survey

Blaz Meden, Peter Rot, Philipp Terhorst, Naser Damer, Arjan Kuijper, Walter J. Scheirer, Arun Ross, Peter Peer, Vitomir Struc
2021 IEEE Transactions on Information Forensics and Security  
Face recognition technology, in particular, has been in the spotlight, and is now seen by many as posing a considerable risk to personal privacy.  ...  To make this work useful for as wide of an audience as possible, several key topics are covered as well, including evaluation strategies used with B-PETs, existing datasets, relevant standards, and regulations  ...  For more information, see https://creativecommons.org/licenses/by/4.0/ This article has been accepted for publication in a future issue of this journal, but has not been fully edited.  ... 
doi:10.1109/tifs.2021.3096024 fatcat:z5kvij6g7vgx3b24narxdyp2py

Face Recognition: Perspectives from the Real-World [article]

Bappaditya Mandal
2016 arXiv   pre-print
However, we analyze and discuss here that it is not the case, machine recognition of faces for each of these applications poses unique challenges and demands specific research components so as to adapt  ...  children in child care centers and face matching between a scanned IC/passport face image and a few live webcam images for automatic hotel/resort checkouts.  ...  Due to the local police regulations and time constraints for the user, it can capture and use only a few face images.  ... 
arXiv:1602.02999v1 fatcat:bsyj2sdqbneq5apf2fmgsooshe

Person Re-identification: Past, Present and Future [article]

Liang Zheng, Yi Yang, Alexander G. Hauptmann
2016 arXiv   pre-print
Person re-identification (re-ID) has become increasingly popular in the community due to its application and research significance. It aims at spotting a person of interest in other cameras.  ...  Considering different tasks, we classify most current re-ID methods into two classes, i.e., image-based and video-based; in both tasks, hand-crafted and deep learning systems will be reviewed.  ...  ACKNOWLEDGMENTS The authors would like to thank the pioneer researchers in person re-identification and other related fields.  ... 
arXiv:1610.02984v1 fatcat:dbbbohinbrdwvao55f376kip44

Countering Malicious DeepFakes: Survey, Battleground, and Horizon [article]

Felix Juefei-Xu and Run Wang and Yihao Huang and Qing Guo and Lei Ma and Yang Liu
2022 arXiv   pre-print
., visual effect assistance in movie and misinformation generation by faking famous persons.  ...  The evil side of this new technique poses another popular study, i.e., DeepFake detection aiming to identify the fake faces from the real ones.  ...  A face identification network is trained by using the face region to identify the person, while a context recognition network is trained by utilizing the face context like hair, ear to identify the person  ... 
arXiv:2103.00218v3 fatcat:ufeslcp23rghhmx474u25acoje
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