-
EP3746938
European procedure
- EP About this file
- EP Legal status
- EP Federated register
- EP Event history
- EP Citations
- EP Patent family
- EP All documents
Extract from the Register of European Patents
EP About this file: EP3746938
| EP3746938 - SYSTEM AND METHOD FOR NEUROMORPHIC VISUAL ACTIVITY CLASSIFICATION BASED ON FOVEATED DETECTION AND CONTEXTUAL FILTERING [Right-click to bookmark this link] | Status | Examination is in progress Status updated on 25.08.2023 Database last updated on 07.06.2024 | |
| Former | Request for examination was made Status updated on 06.11.2020 | ||
| Former | The international publication has been made Status updated on 10.08.2019 | Most recent event Tooltip | 29.01.2024 | New entry: Renewal fee paid | Applicant(s) | For all designated states HRL Laboratories, LLC 3011 Malibu Canyon Road Malibu, CA 90265 / US | [2020/50] | Inventor(s) | 01 /
KHOSLA, Deepak 401 Commons Park Drive Camarillo, CA 93012 / US | 02 /
UHLENBROCK, Ryan, M. 3945 Ceanothus Place, Apt. C Calabasas, CA 91302 / US | 03 /
CHEN, Yang 2132 Waterby Street Westlake Village, CA 91361 / US | 04 /
SU, Huapeng 3011 Malibu Canyon Road Malibu, CA 90265 / US | [2020/50] | Representative(s) | Boult Wade Tennant LLP Salisbury Square House 8 Salisbury Square London EC4Y 8AP / GB | [2020/50] | Application number, filing date | 19748018.9 | 14.01.2019 | [2020/50] | WO2019US13513 | Priority number, date | US201815883822 | 30.01.2018 Original published format: US201815883822 | US201862642959P | 14.03.2018 Original published format: US 201862642959 P | US201815947032 | 06.04.2018 Original published format: US201815947032 | [2020/50] | Filing language | EN | Procedural language | EN | Publication | Type: | A2 Application without search report | No.: | WO2019152177 | Date: | 08.08.2019 | Language: | EN | [2019/32] | Type: | A2 Application without search report | No.: | EP3746938 | Date: | 09.12.2020 | Language: | EN | The application published by WIPO in one of the EPO official languages on 08.08.2019 takes the place of the publication of the European patent application. | [2020/50] | Search report(s) | International search report - published on: | KR | 10.10.2019 | (Supplementary) European search report - dispatched on: | EP | 03.09.2021 | Classification | IPC: | G06N3/02, G06K9/00 | [2021/40] | CPC: |
G06V20/52 (EP);
G06N20/10 (EP);
G06N3/044 (EP);
G06N3/045 (EP);
G06N3/08 (EP);
G06V10/255 (EP);
|
| Former IPC [2020/50] | G06K9/00 | Designated contracting states | AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR [2020/50] | Title | German: | SYSTEM UND VERFAHREN ZUR KLASSIFIZIERUNG EINER NEUROMORPHEN VISUELLEN AKTIVITÄT AUF DER GRUNDLAGE VON FOVEA-DETEKTION UND KONTEXTFILTERUNG | [2020/50] | English: | SYSTEM AND METHOD FOR NEUROMORPHIC VISUAL ACTIVITY CLASSIFICATION BASED ON FOVEATED DETECTION AND CONTEXTUAL FILTERING | [2020/50] | French: | SYSTÈME ET PROCÉDÉ DE CLASSIFICATION D'ACTIVITÉ VISUELLE NEUROMORPHIQUE FAISANT APPEL À UNE DÉTECTION FOVÉALE ET À UN FILTRAGE CONTEXTUEL | [2020/50] | Entry into regional phase | 03.04.2020 | National basic fee paid | 03.04.2020 | Search fee paid | 03.04.2020 | Designation fee(s) paid | 03.04.2020 | Examination fee paid | Examination procedure | 03.04.2020 | Examination requested [2020/50] | 29.04.2022 | Despatch of communication that the application is deemed to be withdrawn, reason: reply to the Extended European Search Report/Written Opinion of the International Searching Authority/International Preliminary Examination Report/Supplementary international search report not received in time | 09.07.2022 | Amendment by applicant (claims and/or description) | 28.08.2023 | Despatch of a communication from the examining division (Time limit: M04) | 08.01.2024 | Reply to a communication from the examining division | Request for further processing for: | The application is deemed to be withdrawn due to failure to reply to the Extended European Search Report/Written Opinion of the International Searching Authority/International Preliminary Examination Report/Supplementary international search report/Supplementary European search report | 09.07.2022 | Request for further processing filed | 09.07.2022 | Full payment received (date of receipt of payment) Request granted | 18.07.2022 | Decision despatched | Fees paid | Renewal fee | 27.01.2021 | Renewal fee patent year 03 | 27.01.2022 | Renewal fee patent year 04 | 27.01.2023 | Renewal fee patent year 05 | 29.01.2024 | Renewal fee patent year 06 |
| Opt-out from the exclusive Tooltip competence of the Unified Patent Court | See the Register of the Unified Patent Court for opt-out data | ||
| Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court. | Documents cited: | Search | [Y]WO2008098188 (BEHAVIORAL RECOGNITION SYSTEMS [US], et al) [Y] 1-14 * abstract * * paragraph [0028] - paragraph [0035] *; | [Y] - Arun Hampapur ET AL, "Smart Video Surveillance [Exploring the concept of multiscale spatiotemporal tracking]", IEEE SIGNAL PROCESSING MAGAZINE, doi:10.1109/MSP.2005.1406476, (20050301), URL: http://www.andrewsenior.com/papers/HampapurIEEESP05.pdf, (20170217), XP055347119 [Y] 1-14 * the whole document * DOI: http://dx.doi.org/10.1109/MSP.2005.1406476 | [A] - PEIXOTO P ET AL, "A surveillance system combining peripheral and foveated motion tracking", PATTERN RECOGNITION, 1998. PROCEEDINGS. FOURTEENTH INTERNATIONAL CONFE RENCE ON BRISBANE, QLD., AUSTRALIA 16-20 AUG. 1998, LOS ALAMITOS, CA, USA,IEEE COMPUT. SOC, US, (19980816), vol. 1, doi:10.1109/ICPR.1998.711208, ISBN 978-0-8186-8512-5, pages 574 - 577, XP010297420 [A] 1-14 * the whole document * DOI: http://dx.doi.org/10.1109/ICPR.1998.711208 | International search | [A]US2011081043 (SABOL BRUCE M [US], et al) [A] 1-21 * See paragraphs [0034]-[0036] and figure 3. *; | [A]US2014218468 (GAO CHUNYU [US], et al) [A] 1-21 * See paragraph [0045], claim 21 and figure 5. *; | [A]US9230302 (OWECHKO YURI [US], et al) [A] 1-21* See claims 1-3 and figures 4,5. *; | [A]US2017132468 (MOSHER AARON Y [US], et al) [A] 1-21 * See paragraph [0031], claim 17 and figure 4. *; | [A] - JEFF DONAHUE et al., "Long-term Recurrent Convolutional Networks for Visual Recognition and Description", The IEEE Conference on Computer Vision and Pattern Recognition (CVPR, (20150000), doi:10.1109/CVPR.2015.7298878, pages 2625 - 2634, XP032793708 [A] 1-21 * . See pages 2627-2629 and figures 1,3. * DOI: http://dx.doi.org/10.1109/CVPR.2015.7298878 | by applicant | US9008366 | US9147255 | - KARPATHYG. TODERICIS. SHETTYT. LEUNGR. SUKTHANKARL. FEI-FEI, "Large-Scale Video Classification with Convolutional Neural Networks", IEEE Conference on Computer Vision and Pattern Recognition, (20140000), pages 1725 - 1732 | - K. SIMONYANA. ZISSERMAN, "Two-stream convolutional networks for action recognition in videos", Advances in Neural Information Processing Systems 27.- Annual Conference on Neural Information Processing Systems, (20140000), pages 568 - 576 | - DEEPAK KHOSLAYANG CHENK. KIM, "A Neuromorphic System for Video Object Recognition", Frontiers in Computational Neuroscience, 2014, (20140000), vol. 8, page 147 | - AlexNet, (20181217), URL: https://en.wikipedia.org/wiki/AlexNet | - C SZEGEDYV VANHOUCKES IOFFEJ SHLENSZ WOJNA, "Rethinking the inception architecture for computer vision", IEEE Conference on, (20160000), pages 2818 - 2826 | - VIRAT, (20181217), URL: http://crcv.ucf.edu/data/VIRAT.php | - UCF101, (20181217), URL: http://crcv.ucf.edu/data/UCF101.php | - KALAL, Z, OpenTLD, (20110000), URL: https://github.com/zk00006/OpenTLD | - HE, Y, mean-shift-tracking, (20160124), URL: https://github.com/HeYijia/mean-shift-tracking | - Lecture Notes in Computer Science, (20150000), vol. 9003 | - KUHN, H, "The Hungarian Method for the assignment problem", Naval Research Logistics Quarterly, (19550000), vol. 2, pages 83 - 97 | - MUNKRES, J, "Algorithms for the Assignment and Transportation Problems", Journal of the Society for Industrial and Applied Mathematics, (19570000), vol. 5, no. 1, pages 32 - 38 | - OLAH, C, "Understanding LSTM Networks", Colah's Blog, (20150827), URL: http://colah.github.io/posts/2015-08-Understanding-LSTMs/#fn1 | - CORTES, C et al., "Support-vector networks", Machine Learning, (19950000), vol. 20, no. 3, pages 273 - 297 |