2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP)最新文献

An improved event-by-event clustering algorithm for noisy acquisition 一种改进的逐事件聚类噪声采集算法

2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2022-06-22 DOI: 10.1109/EBCCSP56922.2022.9845512

Xavier Lesage, Rosalie Tran, Stéphane Mancini, L. Fesquet

引用次数: 1

Signal Estimation from Level Crossings using Conditional Minimum Mean Square Error Predictor 基于条件最小均方误差预测器的道口信号估计

2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2022-06-22 DOI: 10.1109/EBCCSP56922.2022.9845541

Maciej Ordowski, M. Pawlak, D. Rzepka, M. Miśkowicz

{"title":"Signal Estimation from Level Crossings using Conditional Minimum Mean Square Error Predictor","authors":"Maciej Ordowski, M. Pawlak, D. Rzepka, M. Miśkowicz","doi":"10.1109/EBCCSP56922.2022.9845541","DOIUrl":"https://doi.org/10.1109/EBCCSP56922.2022.9845541","url":null,"abstract":"This paper is focused on the interpolation of a signal modeled by a random process from a set of discrete-time measurements. The process of signal sampling is studied as a conditioning of a random process at instants of its discrete-time observations. The analysis shows that even if an input is modeled by a stationary Gaussian process, the conditional random process with a set of observations at sampling instants, is still Gaussian but non-stationary. By the adoption of standard properties of the multivariate normal distribution, we derive the mean of the conditional process, which is at the same time the minimum mean-square error (MMSE) predictor for signal reconstruction based on the given information represented by the observations. It is shown that for Gaussian signals, the MMSE predictor is a linear function of the observed data. For bandlimited signals, the conditional MMSE predictor coincides to the well-known MMSE reconstruction derived by Yen based on the deterministic approach. Although the approach covers any measurement scheme, possibly non-uniform in time, the study is narrowed down to the interpolation of the signal from its level-crossing samples. The accuracy of the MMSE reconstruction has been verified by simulations.","PeriodicalId":383039,"journal":{"name":"2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129470236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-Throughput Asynchronous Convolutions for High-Resolution Event-Cameras 高分辨率事件相机的高通量异步卷积

2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2022-06-22 DOI: 10.1109/EBCCSP56922.2022.9845500

L. Rosa, Aiko Dinale, Simeon A. Bamford, C. Bartolozzi, Arren J. Glover

{"title":"High-Throughput Asynchronous Convolutions for High-Resolution Event-Cameras","authors":"L. Rosa, Aiko Dinale, Simeon A. Bamford, C. Bartolozzi, Arren J. Glover","doi":"10.1109/EBCCSP56922.2022.9845500","DOIUrl":"https://doi.org/10.1109/EBCCSP56922.2022.9845500","url":null,"abstract":"Event cameras are promising sensors for on-line and real-time vision tasks due to their high temporal resolution, low latency, and redundant static data elimination. Many vision algorithms use some form of spatial convolution (i.e. spatial pattern detection) as a fundamental component. However, additional consideration must be taken for event cameras, as the visual signal is asynchronous and sparse. While elegant methods have been proposed for event-based convolutions, they are unsuitable for real scenarios due to their inefficient processing pipeline and subsequent low event-throughput. This paper presents an efficient implementation based on decoupling the event-based computations from the computationally heavy convolutions, increasing the maximum event processing rate by 15. 92 × to over 10 million events/second, while still maintaining the event-based paradigm of asynchronous input and output. Results on public datasets with modern 640 × 480 event-camera recordings show that the proposed implementation achieves real-time processing with minimal impact on the convolution result, while the prior state-of-the-art results in a latency of over 1 second.","PeriodicalId":383039,"journal":{"name":"2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131055111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

How Late is too Late? A Preliminary Event-based Latency Evaluation 多晚才算太晚?初步的基于事件的延迟评估

2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2022-06-22 DOI: 10.1109/EBCCSP56922.2022.9845622

Luna Gava, Marco Monforte, C. Bartolozzi, Arren J. Glover

{"title":"How Late is too Late? A Preliminary Event-based Latency Evaluation","authors":"Luna Gava, Marco Monforte, C. Bartolozzi, Arren J. Glover","doi":"10.1109/EBCCSP56922.2022.9845622","DOIUrl":"https://doi.org/10.1109/EBCCSP56922.2022.9845622","url":null,"abstract":"For a robot to compete at the game of air-hockey requires the ability to track the fast-moving puck, and fast reaction of its control system. Event-cameras can be used to solve the visual tracking task in order to overcome problems of motion blur and/or high processing requirements that come from when using traditional RGB cameras. Each pixel of an event-camera responds independently to change in light, resulting in a high frequency, low-latency update of the puck position. A vision-in-the-loop robot control can then maintain stability with much faster movements. In this paper, we introduce the control loop for an iCub robot to follow the position of the puck with its head motion. We evaluate the accuracy and stability of the iCub motion as the latency of the tracked position is varied from 1 ms to 30 ms, achievable in real-time with the event-camera, eventually resulting in control failure. We conclude that the event-driven tracking paradigm is an enabling technology for unlocking smooth dynamic robot motions from vision, also for tasks beyond air-hockey.","PeriodicalId":383039,"journal":{"name":"2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122675506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Fully Event-Driven Control Architecture, Application to Visual Servoing of a Ball-on-Beam System 全事件驱动控制体系结构，在球-梁系统视觉伺服中的应用

2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2022-06-22 DOI: 10.1109/EBCCSP56922.2022.9845596

J. Soudier, Sacha De Sousa, S. Durand

引用次数: 1

Detailed EBCCSP/NeuroEng 2022 Program 详细的EBCCSP/ neuroeng2022计划

2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2022-06-22 DOI: 10.1109/ebccsp56922.2022.9845542

引用次数: 0

EBCCSP 2022 Blank Page EBCCSP 2022空白页

2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2022-06-22 DOI: 10.1109/ebccsp56922.2022.9845653

引用次数: 0

EBCCSP 2022 Cover Page EBCCSP 2022封面页

2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2022-06-22 DOI: 10.1109/ebccsp56922.2022.9845673

引用次数: 0

Work in Progress: Neuromorphic Cytometry, High-throughput Event-based flow Flow-Imaging 正在进行的工作:神经形态细胞术，高通量基于事件的血流成像

2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2022-06-22 DOI: 10.1109/EBCCSP56922.2022.9845595

Ziyao Zhang, Maria Sabrina Ma, J. K. Eshraghian, D. Vigolo, Ken-Tye Yong, O. Kavehei

{"title":"Work in Progress: Neuromorphic Cytometry, High-throughput Event-based flow Flow-Imaging","authors":"Ziyao Zhang, Maria Sabrina Ma, J. K. Eshraghian, D. Vigolo, Ken-Tye Yong, O. Kavehei","doi":"10.1109/EBCCSP56922.2022.9845595","DOIUrl":"https://doi.org/10.1109/EBCCSP56922.2022.9845595","url":null,"abstract":"Cell sorting and counting technology has been broadly adopted for medical diagnosis, cell-based therapy, and biological research. Microscopy operates with image capture that is subject to an extremely constrained field-of-view, and even slow-moving targets may undergo motion blur, ghosting, and other movement-induced artifacts, which will ultimately degrade performance in developing machine learning models to perform cell sorting, detection, and tracking. Frame-based sensors are especially susceptible to these issues, and it is highly costly to overcome them with modern but conventional CMOS sensing technologies. We provide an early demonstration of a proof-of-concept system, with the overarching goals of curating a neuromorphic imaging cytometry (NIC) dataset, multimodal analysis techniques, and associated deep-learning models. We are working towards this goal by utilising an event-based camera to perform flow-imaging cytometry to capture cells in motion and train neural networks capable of identifying their morphology (size and shape) and identities. We propose that implementing a neuromorphic sensory system or developing a new class of event-based cameras customised for this purpose with our sorting strategy will unbind the applications from the constraints of framerate and provide a cost-efficient, reproducible and high-throughput imaging mechanism. While we target this early work for cell sorting, this novel idea is the first stepping-stone towards a new type of high-throughput and automated high-content image analysis system and screening instrument.","PeriodicalId":383039,"journal":{"name":"2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128688886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Unsupervised STDP-based Radioisotope Identification Using Spiking Neural Networks Implemented on SpiNNaker 基于stdp的无监督放射性同位素识别在SpiNNaker上的应用

2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) Pub Date : 2022-06-22 DOI: 10.1109/EBCCSP56922.2022.9845586

Shouyu Xie, E. Jones, Edward Marsden, I. Baistow, S. Furber, S. Mitra, A. Hamilton

引用次数: 0