Literatura académica sobre el tema "Event-driven vision"
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Artículos de revistas sobre el tema "Event-driven vision"
Sun, Ruolin, Dianxi Shi, Yongjun Zhang, Ruihao Li y Ruoxiang Li. "Data-Driven Technology in Event-Based Vision". Complexity 2021 (27 de marzo de 2021): 1–19. http://dx.doi.org/10.1155/2021/6689337.
Texto completoCamunas-Mesa, Luis, Carlos Zamarreno-Ramos, Alejandro Linares-Barranco, Antonio J. Acosta-Jimenez, Teresa Serrano-Gotarredona y Bernabé Linares-Barranco. "An Event-Driven Multi-Kernel Convolution Processor Module for Event-Driven Vision Sensors". IEEE Journal of Solid-State Circuits 47, n.º 2 (febrero de 2012): 504–17. http://dx.doi.org/10.1109/jssc.2011.2167409.
Texto completoSemeniuta, Oleksandr y Petter Falkman. "EPypes: a framework for building event-driven data processing pipelines". PeerJ Computer Science 5 (11 de febrero de 2019): e176. http://dx.doi.org/10.7717/peerj-cs.176.
Texto completoLiu, Shih-Chii, Bodo Rueckauer, Enea Ceolini, Adrian Huber y Tobi Delbruck. "Event-Driven Sensing for Efficient Perception: Vision and Audition Algorithms". IEEE Signal Processing Magazine 36, n.º 6 (noviembre de 2019): 29–37. http://dx.doi.org/10.1109/msp.2019.2928127.
Texto completoTominski, Christian. "Event-Based Concepts for User-Driven Visualization". Information Visualization 10, n.º 1 (24 de diciembre de 2009): 65–81. http://dx.doi.org/10.1057/ivs.2009.32.
Texto completoRoheda, Siddharth, Hamid Krim, Zhi-Quan Luo y Tianfu Wu. "Event driven sensor fusion". Signal Processing 188 (noviembre de 2021): 108241. http://dx.doi.org/10.1016/j.sigpro.2021.108241.
Texto completoBerjón, Roberto, Montserrat Mateos, M. Encarnación Beato y Ana Fermoso García. "An Event Mesh for Event Driven IoT Applications". International Journal of Interactive Multimedia and Artificial Intelligence 7, n.º 6 (2022): 54. http://dx.doi.org/10.9781/ijimai.2022.09.003.
Texto completoMatsui, Chihiro, Kazuhide Higuchi, Shunsuke Koshino y Ken Takeuchi. "Event data-based computation-in-memory (CiM) configuration by co-designing integrated in-sensor and CiM computing for extremely energy-efficient edge computing". Japanese Journal of Applied Physics 61, SC (7 de abril de 2022): SC1085. http://dx.doi.org/10.35848/1347-4065/ac5533.
Texto completoLenero-Bardallo, Juan Antonio, Teresa Serrano-Gotarredona y Bernabé Linares-Barranco. "A 3.6 $\mu$s Latency Asynchronous Frame-Free Event-Driven Dynamic-Vision-Sensor". IEEE Journal of Solid-State Circuits 46, n.º 6 (junio de 2011): 1443–55. http://dx.doi.org/10.1109/jssc.2011.2118490.
Texto completoSchraml, Stephan, Ahmed Nabil Belbachir y Horst Bischof. "An Event-Driven Stereo System for Real-Time 3-D 360° Panoramic Vision". IEEE Transactions on Industrial Electronics 63, n.º 1 (enero de 2016): 418–28. http://dx.doi.org/10.1109/tie.2015.2477265.
Texto completoTesis sobre el tema "Event-driven vision"
IACONO, MASSIMILIANO. "Object detection and recognition with event driven cameras". Doctoral thesis, Università degli studi di Genova, 2020. http://hdl.handle.net/11567/1005981.
Texto completoVon, Arnim Axel. "Capteur visuel pour l'identification et la communication optique entre objets mobiles : des images aux événements". Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4012.
Texto completoIn this doctoral thesis, we present the results of five years of research, design and production work on an active optical identification sensor comprising a near-infrared transmitter and a high-frequency receiver camera. This sensor locates and identifies a moving object in the visual scene by transmitting optical data. It is thus possible either to transmit data purely optically between moving objects in their respective fields of view, or to combine optical identification with conventional telecommunication means, with the aim of precisely locating the data transmitters, without recourse to or in the absence of GPS or other localization techniques. This technique, which we first explored in 2005, is known as Optical Camera Communication (OCC). Initially, between 2005 and 2008, we implemented the receiver with a CCD camera clocked at 595Hz, achieving a communication rate of 250 bits per second and an average identification time of 76ms (for a 16-bit identifier) over a maximum range of 378m. In a second study phase in 2022-2023, we used an event-driven camera, achieving a communication rate of 2,500 bits per second with a decoding rate of 94%, i.e. an average decoding time equal to the theoretical time of 6.4ms for 16 bits. So we've gained an order of magnitude. Our sensor differs from the state of the art in two ways. Its first version arrived very early, and contributed to the emergence of the concept of optical camera communication. A French patent protected the invention for ten years. Its second version outperforms the state of the art in terms of throughput, while adding robustness for tracking moving objects.Our initial use case was the localization of road objects for inter-vehicular and vehicle-to-infrastructure communication. In our more recent work, we have chosen drone surveillance and object tracking. Our sensor has many applications, particularly where other means of communication or identification are either unavailable or undesirable. These include industrial and military sites, confidential visual communications, the precise tracking of emergency vehicles by drone, and so on. Applications of similar technologies in the field of sports prove the usefulness and economic viability of the sensor.This thesis also presents my entire research career, from research engineer to researcher, then research project manager, and finally research director in a research institute. The areas of research application have varied widely, from driver assistance to neuromorphic AI, but have always followed the common thread of robotics, in its various implementations. We hope to convince the reader of the scientific innovation brought about by our work, and more generally of our contribution to research, its management and its direction
(8921381), Ali Lenjani. "Developing Artificial Intelligence-Based Decision Support for Resilient Socio-Technical Systems". Thesis, 2020.
Buscar texto completoCapítulos de libros sobre el tema "Event-driven vision"
Lin, Songnan, Jiawei Zhang, Jinshan Pan, Zhe Jiang, Dongqing Zou, Yongtian Wang, Jing Chen y Jimmy Ren. "Learning Event-Driven Video Deblurring and Interpolation". En Computer Vision – ECCV 2020, 695–710. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58598-3_41.
Texto completoYuen, Jenny y Antonio Torralba. "A Data-Driven Approach for Event Prediction". En Computer Vision – ECCV 2010, 707–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15552-9_51.
Texto completoZaharescu, Andrei y Richard Wildes. "Anomalous Behaviour Detection Using Spatiotemporal Oriented Energies, Subset Inclusion Histogram Comparison and Event-Driven Processing". En Computer Vision – ECCV 2010, 563–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15549-9_41.
Texto completoSchmitt, R. H., R. Kiesel, D. Buschmann, S. Cramer, C. Enslin, M. Fischer, T. Gries et al. "Improving Shop Floor-Near Production Management Through Data-Driven Insights". En Internet of Production, 1–23. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-98062-7_16-1.
Texto completoSchmitt, Robert H., Raphael Kiesel, Daniel Buschmann, Simon Cramer, Chrismarie Enslin, Markus Fischer, Thomas Gries et al. "Improving Shop Floor-Near Production Management Through Data-Driven Insights". En Internet of Production, 367–90. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-44497-5_16.
Texto completoVandenbroucke, Gabriel Marin, Simon Gérard y Anthony May. "The impact of the Rio 2016 Olympic and Paralympic Games on the visitor economy: a human rights perspective." En Managing events, festivals and the visitor economy: concepts, collaborations and cases, 145–59. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789242843.00011.
Texto completoAhuja, Neel. "Weather as War". En Planetary Specters, 131–60. University of North Carolina Press, 2021. http://dx.doi.org/10.5149/northcarolina/9781469664477.003.0005.
Texto completoGross, Alan G. "Rachel Carson: The Ethical Sublime". En The Scientific Sublime. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190637774.003.0012.
Texto completoActas de conferencias sobre el tema "Event-driven vision"
Delbruck, Tobi, Bernabe Linares-Barranco, Eugenio Culurciello y Christoph Posch. "Activity-driven, event-based vision sensors". En 2010 IEEE International Symposium on Circuits and Systems - ISCAS 2010. IEEE, 2010. http://dx.doi.org/10.1109/iscas.2010.5537149.
Texto completoCamunas-Mesa, L. A., T. Serrano-Gotarredona, B. Linares-Barranco, S. Ieng y R. Benosman. "Event-driven stereo vision with orientation filters". En 2014 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2014. http://dx.doi.org/10.1109/iscas.2014.6865114.
Texto completoBelbachir, Ahmed Nabil, Stephan Schraml y Aneta Nowakowska. "Event-driven stereo vision for fall detection". En 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops). IEEE, 2011. http://dx.doi.org/10.1109/cvprw.2011.5981819.
Texto completoWang, Zihao W., Weixin Jiang, Kuan He, Boxin Shi, Aggelos Katsaggelos y Oliver Cossairt. "Event-Driven Video Frame Synthesis". En 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, 2019. http://dx.doi.org/10.1109/iccvw.2019.00532.
Texto completoMuller-Budack, Eric, Matthias Springstein, Sherzod Hakimov, Kevin Mrutzek y Ralph Ewerth. "Ontology-driven Event Type Classification in Images". En 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2021. http://dx.doi.org/10.1109/wacv48630.2021.00297.
Texto completoMessikommer, Nico, Carter Fang, Mathias Gehrig y Davide Scaramuzza. "Data-Driven Feature Tracking for Event Cameras". En 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2023. http://dx.doi.org/10.1109/cvpr52729.2023.00546.
Texto completoCzarlinska, Alexandra y Deepa Kundur. "Event-Driven Visual Sensor Networks: Issues in Reliability". En 2008 IEEE Workshop on Applications of Computer Vision (WACV). IEEE, 2008. http://dx.doi.org/10.1109/wacv.2008.4544039.
Texto completoCamunas-Mesa, L. A., T. Serrano-Gotarredona y B. Linares-Barranco. "Event-driven sensing and processing for high-speed robotic vision". En 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2014. http://dx.doi.org/10.1109/biocas.2014.6981776.
Texto completoSchraml, Stephan, Ahmed Nabil Belbachir y Horst Bischof. "Event-driven stereo matching for real-time 3D panoramic vision". En 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2015. http://dx.doi.org/10.1109/cvpr.2015.7298644.
Texto completoEibensteiner, Florian, Hans Georg Brachtendorf y Josef Scharinger. "Event-driven stereo vision algorithm based on silicon retina sensors". En 2017 27th International Conference Radioelektronika (RADIOELEKTRONIKA). IEEE, 2017. http://dx.doi.org/10.1109/radioelek.2017.7937602.
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