{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:50:06Z","timestamp":1760241006725,"version":"build-2065373602"},"publisher-location":"Basel Switzerland","reference-count":13,"publisher":"MDPI","license":[{"start":{"date-parts":[[2019,11,20]],"date-time":"2019-11-20T00:00:00Z","timestamp":1574208000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.3390\/proceedings2019031035","type":"proceedings-article","created":{"date-parts":[[2019,11,20]],"date-time":"2019-11-20T11:06:03Z","timestamp":1574247963000},"page":"35","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Low-Power Pedestrian Detection System on FPGA"],"prefix":"10.3390","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7630-2502","authenticated-orcid":false,"given":"Vinh","family":"Ngo","sequence":"first","affiliation":[{"name":"Department of Microelectronics and Electronic Systems, School of Engineering, Autonomous University of Barcelona, 08193 Bellaterra, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7181-9705","authenticated-orcid":false,"given":"David","family":"Castells-Rufas","sequence":"additional","affiliation":[{"name":"Department of Microelectronics and Electronic Systems, School of Engineering, Autonomous University of Barcelona, 08193 Bellaterra, Spain"}]},{"given":"Arnau","family":"Casadevall","sequence":"additional","affiliation":[{"name":"Department of Microelectronics and Electronic Systems, School of Engineering, Autonomous University of Barcelona, 08193 Bellaterra, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8989-587X","authenticated-orcid":false,"given":"Marc","family":"Codina","sequence":"additional","affiliation":[{"name":"Department of Microelectronics and Electronic Systems, School of Engineering, Autonomous University of Barcelona, 08193 Bellaterra, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9540-8759","authenticated-orcid":false,"given":"Jordi","family":"Carrabina","sequence":"additional","affiliation":[{"name":"Department of Microelectronics and Electronic Systems, School of Engineering, Autonomous University of Barcelona, 08193 Bellaterra, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2019,11,20]]},"reference":[{"key":"ref_1","unstructured":"Dalal, N., and Triggs, W. (2005, January 20\u201325). Histograms of Oriented Gradients for Human Detection. Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition CVPR05, San Diego, CA, USA."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1051","DOI":"10.1109\/TCSVT.2014.2360030","article-title":"Evaluation and acceleration of high-throughput fixed-point object detection on FPGAS","volume":"25","author":"Ma","year":"2015","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Ngo, V., Casadevall, A., Codina, M., Castells-Rufas, D., and Carrabina, J. (October, January 29). A pipeline hog feature extraction for real-time pedestrian detection on FPGA. Proceedings of the 2017 IEEE East-West Design Test Symposium (EWDTS), Novi Sad, Serbia.","DOI":"10.1109\/EWDTS.2017.8110057"},{"key":"ref_4","unstructured":"Ngo, V., Casadevall, A., Codina, M., Castells-Rufas, D., and Carrabina, J. (2018, January 10\u201314). A low-cost SVM classifier on FPGA for pedestrian detection. Proceedings of the Jornadas de Computaci\u00f3n Empotrada y Reconfigurable (JCER2018), Teruel, Spain."},{"key":"ref_5","unstructured":"Bauer, S., Brunsmann, U., and Schlotterbeck-Macht, S. (2009). FPGA Implementation of a HOG-Based Pedestrian Recognition System, MPC-Workshop."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Kadota, R., Sugano, H., Hiromoto, M., Ochi, H., Miyamoto, R., and Nakamura, Y. (2009, January 12\u201314). Hardware architecture for HOG feature extraction. Proceedings of the IIH-MSP 2009\u20142009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Kyoto, Japan.","DOI":"10.1109\/IIH-MSP.2009.216"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Hahnle, M., Saxen, F., Hisung, M., Brunsmann, U., and Doll, K. (2013, January 23\u201328). FPGA-Based real-time pedestrian detection on high-resolution images. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Portland, OR, USA.","DOI":"10.1109\/CVPRW.2013.95"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Khan, A., Khan, M.U.K., Bilal, M., and Kyung, C.M. (2015, January 5\u20137). Hardware architecture and optimization of sliding window based pedestrian detection on FPGA for high resolution images by varying local features. Proceedings of the IEEE\/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC, Daejeon, Korea.","DOI":"10.1109\/VLSI-SoC.2015.7314406"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Rettkowski, J., Boutros, A., and G\u00f6hringer, D. (2015, January 7\u20139). Real-time pedestrian detection on a xilinx zynq using the HOG algorithm. Proceedings of the 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig), Mexico City, Mexico.","DOI":"10.1109\/ReConFig.2015.7393339"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1109\/JETCAS.2013.2256821","article-title":"Characterising a Heterogeneous System for Person Detection in Video using Histograms of Oriented Gradients: Power vs. Speed vs. Accuracy","volume":"3","author":"Blair","year":"2013","journal-title":"IEEE J. Emerg. Sel. Top. Circuits Syst."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2260","DOI":"10.1109\/TCSVT.2016.2581660","article-title":"A Low-Complexity Pedestrian Detection Framework for Smart Video Surveillance Systems","volume":"27","author":"Bilal","year":"2017","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Luo, J.H., and Lin, C.H. (2018). Pure FPGA Implementation of an HOG Based Real-Time Pedestrian Detection System. Sensors, 18.","DOI":"10.3390\/s18041174"},{"key":"ref_13","unstructured":"Castells i Rufas, D. (2016). Scalable Parallel Architectures on Reconfigurable Platforms. [Ph.D. Thesis, Autonomous University of Barcelona]."}],"event":{"name":"The International Conference on Ubiquitous Computing and Ambient \u202aIntelligence","acronym":"UCAmI 2019"},"container-title":["13th International Conference on Ubiquitous Computing and Ambient \u202aIntelligence UCAmI 2019\u202c"],"original-title":[],"link":[{"URL":"https:\/\/www.mdpi.com\/2504-3900\/31\/1\/35\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:35:52Z","timestamp":1760189752000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2504-3900\/31\/1\/35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,20]]},"references-count":13,"alternative-id":["proceedings2019031035"],"URL":"https:\/\/doi.org\/10.3390\/proceedings2019031035","relation":{},"subject":[],"published":{"date-parts":[[2019,11,20]]}}}