A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
Pseudo-labels for Supervised Learning on Dynamic Vision Sensor Data, Applied to Object Detection under Ego-motion
[article]
2018
arXiv
pre-print
Preserved Fulltext
Other Versions
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
2015
IEEE Transactions on Pattern Analysis and Machine Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Other Versions
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
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2018
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
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]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2020
2020 International Joint Conference on Neural Networks (IJCNN)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2011
Journal of Vision
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
2016
Computer Vision and Image Understanding
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
2015
Vision Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
., 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
2021
Frontiers in Neural Circuits
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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
2017
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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]
2017
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
2019
Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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
1999
Vision Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
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
« Previous
Showing results 1 — 15 out of 9,547 results