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Pseudo-labels for Supervised Learning on Dynamic Vision Sensor Data, Applied to Object Detection under Ego-motion [article]

Nicholas F. Y. Chen
2018 arXiv   pre-print
In recent years, dynamic vision sensors (DVS), also known as event-based cameras or neuromorphic sensors, have seen increased use due to various advantages over conventional frame-based cameras.  ...  However, event-based data sets are scarce and labels are even rarer for tasks such as object detection.  ...  [13] proposed a method which adaptively pools feature maps from successive frames (generated by binning dynamic vision sensor data over time) to create motion invariant features for object detection  ... 
arXiv:1709.09323v3 fatcat:sfkfbvgnv5hn3a27isk7zngno4

HFirst: A Temporal Approach to Object Recognition

Garrick Orchard, Cedric Meyer, Ralph Etienne-Cummings, Christoph Posch, Nitish Thakor, Ryad Benosman
2015 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Representation (AER) vision sensors.  ...  Specifically, we rely on a simple temporal-winner-take-all rather than more computationally intensive synchronous operations typically used in biologically inspired neural networks for object recognition  ...  ACKNOWLEDGMENTS The authors thank Bernabe Linares-Barranco for supplying the card pip data, discussions at the Telluride Neuromorphic Cognition Engineering Workshop for helping to formulate these ideas  ... 
doi:10.1109/tpami.2015.2392947 pmid:26353184 fatcat:w37cptzkkfhppajddkvyqf4dxi

Pseudo-Labels for Supervised Learning on Dynamic Vision Sensor Data, Applied to Object Detection Under Ego-Motion

Nicholas F. Y. Chen
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
In recent years, dynamic vision sensors (DVS), also known as event-based cameras or neuromorphic sensors, have seen increased use due to various advantages over conventional frame-based cameras.  ...  However, event-based data sets are scarce and labels are even rarer for tasks such as object detection.  ...  We hope that this work will encourage researchers to use pseudo-labels for supervised learning techniques on DVS data and advance the frontiers of this field, and to publish more data sets containing synchronized  ... 
doi:10.1109/cvprw.2018.00107 dblp:conf/cvpr/Chen18 fatcat:5qgvqmvogrcopacmbh3cg6yvgy

Front Matter: Volume 10646

Ivan Kadar
2018 Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII  
Please use the following format to cite material from these proceedings: Publication of record for individual papers is online in the SPIE Digital Library.  ...  The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.  ...  They have also been used for various object detection techniques like detection of open spaces for parking [12] .  ... 
doi:10.1117/12.2500434 fatcat:wfvvakrbsrfrbiiglzdvnp34o4

UAV Detection: A STDP trained Deep Convolutional Spiking Neural Network Retina-Neuromorphic Approach [article]

Paul Kirkland
2019 arXiv   pre-print
The Dynamic Vision Sensor (DVS) has many attributes that allow it to be well suited to the task for UAV Detection.  ...  This paper is the first to look at exploiting the features of an Event Camera solely for Drone Detection while combining it with a Spiking Neural Network (SNN) trained using the unsupervised approach of  ...  Dynamic Vision Sensor -Event Based Camera The Dynamic Vision Sensor is a biologically-inspired sensor (silicon retina) created to mimic how human eye perceives motion with their retina: as such the sensor  ... 
arXiv:1904.12230v1 fatcat:jq37wxwauvfh3e7rgjr6skwhaa

SpikeSEG: Spiking Segmentation via STDP Saliency Mapping

Paul Kirkland, Gaetano Di Caterina, John Soraghan, George Matich
2020 2020 International Joint Conference on Neural Networks (IJCNN)  
event driven sensor, and then processed using a spiking fully convolutional neural network.  ...  This not only gives exact pixel locations for spiking segmentation, but with low latency and computational overhead.  ...  Neuromorphic Vision Sensor -Dynamic Vision Sensor Neuromorphic Vision Sensors have been used successfully in multiple research areas within traditional computer vision and have utilised CNNs for Classification  ... 
doi:10.1109/ijcnn48605.2020.9207075 dblp:conf/ijcnn/KirklandCSM20 fatcat:ta7cvx7ytzcctgllgdq7iydcju

Advancement of motion psychophysics: Review 2001-2010

S. Nishida
2011 Journal of Vision  
motion and feature tracking, motion aftereffects, motioninduced mislocalizations, timing of motion processing, cross-attribute interactions for object motion, motion-induced blindness, and biological  ...  It covers a wide range of topics, including the detection and interactions of local motion signals, motion integration across various dimensions for vector computation and global motion perception, second-order  ...  One can reveal the operation of this stabilization mechanism by adapting local motion sensors by dynamic noise or by flickering the surround area.  ... 
doi:10.1167/11.5.11 pmid:22144564 fatcat:htiytk6kpbgdlj5itetmn4egwq

Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision

N. V. Kartheek Medathati, Heiko Neumann, Guillaume S. Masson, Pierre Kornprobst
2016 Computer Vision and Image Understanding  
Using this task-centric approach, we discuss well-known biological functional principles and compare them with approaches taken by computer vision.  ...  Studies in biological vision have always been a great source of inspiration for design of computer vision algorithms.  ...  H N acknowledges support from DFG in the SFB/TRR 'A Companion Technology for Cognitive Technical Systems. P K acknowledges support from the EC IP project FP7-ICT-2011-9 no. 600847 (RENVISION).  ... 
doi:10.1016/j.cviu.2016.04.009 fatcat:lad5bwlqgbb5nhgtnxj6d32mc4

Temporal summation of global form signals in dynamic Glass patterns

Jean-François Nankoo, Christopher R. Madan, Marcia L. Spetch, Douglas R. Wylie
2015 Vision Research  
., temporal frequency). The results show that, within the range of temporal frequency used, the primary influence on detection thresholds was the number of unique frames.  ...  Here we investigated which of these two factors contributed to the heightened sensitivities for dynamic GPs.  ...  Glass patterns are commonly used to study how the visual system pools local orientation information to allow us to perceive the global form of objects in the environment, in the same way that random-dot  ... 
doi:10.1016/j.visres.2014.10.033 pmid:25451242 fatcat:l5faq3dndjcvjozgffxap4idxa

Event-Based Sensing and Signal Processing in the Visual, Auditory, and Olfactory Domain: A Review

Mohammad-Hassan Tayarani-Najaran, Michael Schmuker
2021 Frontiers in Neural Circuits  
Vehicle Detection A spiking neural network is introduced in Bichler et al. (2011, 2012) to extract temporally correlated features from spike-based dynamic vision sensors.  ...  In Li et al. (2017) , using a dynamic vision sensor, 10,000 frame-based images are converted into event streams.  ...  No use, distribution or reproduction is permitted which does not comply with these terms.  ... 
doi:10.3389/fncir.2021.610446 pmid:34135736 pmcid:PMC8203204 fatcat:qjvv6czzufazthcyvs7go5pnj4

2012 Index IEEE Transactions on Intelligent Transportation Systems Vol. 13

2012 IEEE transactions on intelligent transportation systems (Print)  
A Acceleration Simple Vehicle Powertrain Model for Modeling Intelligent Vehicle Applications. Rakha, H. A., +, TITS June 2012 770-780 Acceleration measurement  ...  -M., see 1277-1286 Hofleitner, A., Herring, R., Abbeel, P., and Bayen, A., Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network;  ...  ., FPGA-Based Track Circuit for Railways Using Transmission Encoding; TITS June 2012 437-448 Hernandez, N., see 1167-1178 Herrera, F., see Cobo, M.  ... 
doi:10.1109/tits.2012.2230475 fatcat:ykhillnzynf7vhfonoyzcohsya

Human Action Recognition: Pose-Based Attention Draws Focus to Hands

Fabien Baradel, Christian Wolf, Julien Mille
2017 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)  
We propose a new spatio-temporal attention based mechanism for human action recognition able to automatically attend to most important human hands and detect the most discriminative moments in an action  ...  Instead, attention distributions are drawn using external information: human articulated pose.  ...  Adaptive temporal pooling further increases performance.  ... 
doi:10.1109/iccvw.2017.77 dblp:conf/iccvw/Baradel0M17 fatcat:4or2v2e3njemvfzyztqljuag7a

Human Action Recognition: Pose-based Attention draws focus to Hands [article]

Fabien Baradel, Christian Wolf, Julien Mille
2017 arXiv   pre-print
We propose a new spatio-temporal attention based mechanism for human action recognition able to automatically attend to the hands most involved into the studied action and detect the most discriminative  ...  Instead, attention distributions are extracted using external information: human articulated pose.  ...  Adaptive temporal pooling further increases performance.  ... 
arXiv:1712.08002v1 fatcat:tua5ck5rhrgofmp6r33iesdrp4

Exploring Deep Spiking Neural Networks for Automated Driving Applications

Sambit Mohapatra, Heinrich Gotzig, Senthil Yogamani, Stefan Milz, Raoul Zöllner
2019 Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications  
Neural networks have become the standard model for various computer vision tasks in automated driving including semantic segmentation, moving object detection, depth estimation, visual odometry, etc.  ...  The main flavors of neural networks which are used commonly are convolutional (CNN) and recurrent (RNN).  ...  Other similar sensors are event based Dynamic Vision Sensor (DVS) (Lichtsteiner et al., 2008 ) (Lenero-Bardallo et al., 2010 .  ... 
doi:10.5220/0007469405480555 dblp:conf/visapp/MohapatraGYMZ19 fatcat:6pgb436mrndvfoqnrg64njvjzm

Stereoscopic (cyclopean) motion sensing

Robert Patterson
1999 Vision Research  
For animals with binocular vision, low-level motion processing may involve, at least in part, stereoscopic processing.  ...  This paper reviews literature on the motion processing of dynamic change in binocular disparity, called stereoscopic (cyclopean) motion.  ...  Acknowledgements The author would like to thank Stephanie Shorter, Robert Fox and Christopher Bowd for comments on an earlier version of this manuscript.  ... 
doi:10.1016/s0042-6989(99)00047-4 pmid:10615499 fatcat:x3fbbf63tjhy7ftwml4onesfpi
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