{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T13:01:21Z","timestamp":1785330081639,"version":"3.55.0"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030272715","type":"print"},{"value":"9783030272722","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-27272-2_35","type":"book-chapter","created":{"date-parts":[[2019,8,11]],"date-time":"2019-08-11T23:02:59Z","timestamp":1565564579000},"page":"395-403","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras"],"prefix":"10.1007","author":[{"given":"R. Wes","family":"Baldwin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammed","family":"Almatrafi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jason R.","family":"Kaufman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vijayan","family":"Asari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keigo","family":"Hirakawa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,8,3]]},"reference":[{"issue":"4","key":"35_CR1","doi-asserted-by":"publisher","first-page":"3177","DOI":"10.1109\/LRA.2018.2849882","volume":"3","author":"I Alzugaray","year":"2018","unstructured":"Alzugaray, I., Chli, M.: Asynchronous corner detection and tracking for event cameras in real time. IEEE Robot. Autom. Lett. 3(4), 3177\u20133184 (2018)","journal-title":"IEEE Robot. Autom. Lett."},{"key":"35_CR2","doi-asserted-by":"crossref","unstructured":"Amir, A., et al.: A low power, fully event-based gesture recognition system. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7243\u20137252 (2017)","DOI":"10.1109\/CVPR.2017.781"},{"key":"35_CR3","doi-asserted-by":"crossref","unstructured":"Bardow, P., Davison, A.J., Leutenegger, S.: Simultaneous optical flow and intensity estimation from an event camera. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 884\u2013892 (2016)","DOI":"10.1109\/CVPR.2016.102"},{"key":"35_CR4","doi-asserted-by":"crossref","unstructured":"Barranco, F., Teo, C.L., Fermuller, C., Aloimonos, Y.: Contour detection and characterization for asynchronous event sensors. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 486\u2013494 (2015)","DOI":"10.1109\/ICCV.2015.63"},{"key":"35_CR5","doi-asserted-by":"crossref","unstructured":"Barua, S., Miyatani, Y., Veeraraghavan, A.: Direct face detection and video reconstruction from event cameras. In: 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1\u20139. IEEE (2016)","DOI":"10.1109\/WACV.2016.7477561"},{"key":"35_CR6","doi-asserted-by":"publisher","first-page":"594","DOI":"10.3389\/fnins.2016.00594","volume":"10","author":"X Clady","year":"2017","unstructured":"Clady, X., Maro, J.M., Barr\u00e9, S., Benosman, R.B.: A motion-based feature for event-based pattern recognition. Front. Neurosci. 10, 594 (2017)","journal-title":"Front. Neurosci."},{"key":"35_CR7","doi-asserted-by":"crossref","unstructured":"Czech, D., Orchard, G.: Evaluating noise filtering for event-based asynchronous change detection image sensors. In: 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), pp. 19\u201324. IEEE (2016)","DOI":"10.1109\/BIOROB.2016.7523452"},{"issue":"4","key":"35_CR8","doi-asserted-by":"publisher","first-page":"860","DOI":"10.1109\/TBCAS.2018.2834558","volume":"12","author":"G Haessig","year":"2018","unstructured":"Haessig, G., Cassidy, A., Alvarez, R., Benosman, R., Orchard, G.: Spiking optical flow for event-based sensors using IBM\u2019s truenorth neurosynaptic system. IEEE Trans. Biomed. Circ. Syst. 12(4), 860\u2013870 (2018)","journal-title":"IEEE Trans. Biomed. Circ. Syst."},{"key":"35_CR9","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, pp. 1097\u20131105 (2012)"},{"issue":"7","key":"35_CR10","doi-asserted-by":"publisher","first-page":"1346","DOI":"10.1109\/TPAMI.2016.2574707","volume":"39","author":"X Lagorce","year":"2017","unstructured":"Lagorce, X., Orchard, G., Galluppi, F., Shi, B.E., Benosman, R.B.: HOTS: a hierarchy of event-based time-surfaces for pattern recognition. IEEE Trans. Pattern Anal. Mach. Intell. 39(7), 1346\u20131359 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"12","key":"35_CR11","doi-asserted-by":"publisher","first-page":"2250","DOI":"10.1109\/TNNLS.2014.2308551","volume":"25","author":"JH Lee","year":"2014","unstructured":"Lee, J.H., et al.: Real-time gesture interface based on event-driven processing from stereo silicon retinas. IEEE Trans. Neural Netw. Learn. Syst. 25(12), 2250\u20132263 (2014)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"35_CR12","doi-asserted-by":"crossref","unstructured":"Mitrokhin, A., Ferm\u00fcller, C., Parameshwara, C., Aloimonos, Y.: Event-based moving object detection and tracking. In: 2018 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1\u20139. IEEE (2018)","DOI":"10.1109\/IROS.2018.8593805"},{"issue":"2","key":"35_CR13","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1177\/0278364917691115","volume":"36","author":"E Mueggler","year":"2017","unstructured":"Mueggler, E., Rebecq, H., Gallego, G., Delbruck, T., Scaramuzza, D.: The event-camera dataset and simulator: event-based data for pose estimation, visual odometry, and slam. Int. J. Robot. Res. 36(2), 142\u2013149 (2017)","journal-title":"Int. J. Robot. Res."},{"issue":"10","key":"35_CR14","doi-asserted-by":"publisher","first-page":"2028","DOI":"10.1109\/TPAMI.2015.2392947","volume":"37","author":"G Orchard","year":"2015","unstructured":"Orchard, G., Meyer, C., Etienne-Cummings, R., Posch, C., Thakor, N., Benosman, R.: HFirst: a temporal approach to object recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(10), 2028\u20132040 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"35_CR15","doi-asserted-by":"publisher","first-page":"118","DOI":"10.3389\/fnins.2018.00118","volume":"12","author":"V Padala","year":"2018","unstructured":"Padala, V., Basu, A., Orchard, G.: A noise filtering algorithm for event-based asynchronous change detection image sensors on truenorth and its implementation on truenorth. Front. Neurosci. 12, 118 (2018)","journal-title":"Front. Neurosci."},{"key":"35_CR16","unstructured":"Rebecq, H., Gehrig, D., Scaramuzza, D.: ESIM: an open event camera simulator. In: Conference on Robot Learning, pp. 969\u2013982 (2018)"},{"key":"35_CR17","doi-asserted-by":"crossref","unstructured":"Sironi, A., Brambilla, M., Bourdis, N., Lagorce, X., Benosman, R.: HATS: histograms of averaged time surfaces for robust event-based object classification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1731\u20131740 (2018)","DOI":"10.1109\/CVPR.2018.00186"},{"key":"35_CR18","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Recognition"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-27272-2_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,25]],"date-time":"2022-09-25T12:47:12Z","timestamp":1664110032000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-27272-2_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030272715","9783030272722"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-27272-2_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"3 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Waterloo, ON","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciar2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.aimiconf.org\/iciar19\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"ConfTool","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"142","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"58","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"41% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.7","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.8","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}