{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:31:38Z","timestamp":1750221098698,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,12,18]],"date-time":"2018-12-18T00:00:00Z","timestamp":1545091200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,12,18]]},"DOI":"10.1145\/3293353.3293402","type":"proceedings-article","created":{"date-parts":[[2020,5,4]],"date-time":"2020-05-04T22:07:32Z","timestamp":1588630052000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Fast and Generalisable License Plate Re-identification using Neural Embedding of Fisher Vectors"],"prefix":"10.1145","author":[{"given":"Abhinav","family":"Kumar","sequence":"first","affiliation":[{"name":"University of Utah, Salt Lake City, UT, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shantanu","family":"Gupta","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Madison, Madison, WI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vladimir","family":"Kozitsky","sequence":"additional","affiliation":[{"name":"MKS Instruments, Andover, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sriganesh","family":"Madhvanath","sequence":"additional","affiliation":[{"name":"eBay, New York, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,5,3]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Re-ID done right: towards good practices for person re-identification. arXiv preprint arXiv:1801.05339","author":"Almazan Jon","year":"2018","unstructured":"Jon Almazan , Bojana Gajic , Naila Murray , and Diane Larlus . 2018. Re-ID done right: towards good practices for person re-identification. arXiv preprint arXiv:1801.05339 ( 2018 ). Jon Almazan, Bojana Gajic, Naila Murray, and Diane Larlus. 2018. Re-ID done right: towards good practices for person re-identification. arXiv preprint arXiv:1801.05339 (2018)."},{"key":"e_1_3_2_1_2_1","first-page":"16","article-title":"Deep Scattering Spectrum","volume":"62","author":"\u00c3l'n Joakim And","year":"2014","unstructured":"Joakim And \u00c3l'n and St\u00c3l'phane Mallat . 2014 . Deep Scattering Spectrum . IEEE Transactions on Signal Processing 62 , 16 (Aug. 2014), 4114--4128. https:\/\/doi.org\/10.1109\/TSP.2014.2326991 arXiv: 1304.6763. 10.1109\/TSP.2014.2326991 Joakim And \u00c3l'n and St\u00c3l'phane Mallat. 2014. Deep Scattering Spectrum. IEEE Transactions on Signal Processing 62, 16 (Aug. 2014), 4114--4128. https:\/\/doi.org\/10.1109\/TSP.2014.2326991 arXiv: 1304.6763.","journal-title":"IEEE Transactions on Signal Processing"},{"key":"e_1_3_2_1_3_1","volume-title":"Scalable Person Re-identification on Supervised Smoothed Manifold","author":"Bai Song","year":"2017","unstructured":"Song Bai , Xiang Bai , and Qi Tian . 2017. Scalable Person Re-identification on Supervised Smoothed Manifold . IEEE , 3356--3365. https:\/\/doi.org\/10.1109\/CVPR. 2017 .358 10.1109\/CVPR.2017.358 Song Bai, Xiang Bai, and Qi Tian. 2017. Scalable Person Re-identification on Supervised Smoothed Manifold. IEEE, 3356--3365. https:\/\/doi.org\/10.1109\/CVPR.2017.358"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2639020"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.202"},{"volume-title":"NIPS Workshop.","author":"Collobert R.","key":"e_1_3_2_1_6_1","unstructured":"R. Collobert , K. Kavukcuoglu , and C. Farabet . 2011. Torch7: A Matlab-like Environment for Machine Learning. In BigLearn , NIPS Workshop. R. Collobert, K. Kavukcuoglu, and C. Farabet. 2011. Torch7: A Matlab-like Environment for Machine Learning. In BigLearn, NIPS Workshop."},{"key":"e_1_3_2_1_7_1","volume-title":"Computer Vision \u00e2\u0102\u015eECCV","author":"Gray Douglas","year":"2008","unstructured":"Douglas Gray and Hai Tao . 2008. Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features . In Computer Vision \u00e2\u0102\u015eECCV 2008 , David Forsyth, Philip Torr , and Andrew Zisserman (Eds.). Vol. 5302 . Springer Berlin Heidelberg , Berlin, Heidelberg, 262--275. https:\/\/doi.org\/10.1007\/978-3-540-88682-2_21 10.1007\/978-3-540-88682-2_21 Douglas Gray and Hai Tao. 2008. Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features. In Computer Vision \u00e2\u0102\u015eECCV 2008, David Forsyth, Philip Torr, and Andrew Zisserman (Eds.). Vol. 5302. Springer Berlin Heidelberg, Berlin, Heidelberg, 262--275. https:\/\/doi.org\/10.1007\/978-3-540-88682-2_21"},{"key":"e_1_3_2_1_8_1","volume-title":"Deep Residual Learning for Image Recognition. arXiv preprint arXiv:1512.03385","author":"He Kaiming","year":"2015","unstructured":"Kaiming He , Xiangyu Zhang , Shaoqing Ren , and Jian Sun . 2015. Deep Residual Learning for Image Recognition. arXiv preprint arXiv:1512.03385 ( 2015 ). Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2015. Deep Residual Learning for Image Recognition. arXiv preprint arXiv:1512.03385 (2015)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"e_1_3_2_1_10_1","unstructured":"Alexander Hermans Lucas Beyer and Bastian Leibe. 2017. In Defense of the Triplet Loss for Person Re-Identification. arXiv preprint arXiv:1703.07737 (2017).  Alexander Hermans Lucas Beyer and Bastian Leibe. 2017. In Defense of the Triplet Loss for Person Re-Identification. arXiv preprint arXiv:1703.07737 (2017)."},{"key":"e_1_3_2_1_11_1","volume-title":"Caffe: Convolutional Architecture for Fast Feature Embedding. arXiv preprint arXiv:1408.5093","author":"Jia Yangqing","year":"2014","unstructured":"Yangqing Jia , Evan Shelhamer , Jeff Donahue , Sergey Karayev , Jonathan Long , Ross Girshick , Sergio Guadarrama , and Trevor Darrell . 2014 . Caffe: Convolutional Architecture for Fast Feature Embedding. arXiv preprint arXiv:1408.5093 (2014). Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, and Trevor Darrell. 2014. Caffe: Convolutional Architecture for Fast Feature Embedding. arXiv preprint arXiv:1408.5093 (2014)."},{"key":"e_1_3_2_1_12_1","volume-title":"Radke","author":"Karanam Srikrishna","year":"2016","unstructured":"Srikrishna Karanam , Mengran Gou , Ziyan Wu , Angels Rates-Borras , Octavia Camps , and Richard J . Radke . 2016 . A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics , and Datasets . arXiv:1605.09653 [cs] (May 2016). http:\/\/arxiv.org\/abs\/1605.09653 arXiv: 1605.09653. Srikrishna Karanam, Mengran Gou, Ziyan Wu, Angels Rates-Borras, Octavia Camps, and Richard J. Radke. 2016. A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets. arXiv:1605.09653 [cs] (May 2016). http:\/\/arxiv.org\/abs\/1605.09653 arXiv: 1605.09653."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247939"},{"key":"e_1_3_2_1_14_1","unstructured":"Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097--1105.  Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097--1105."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178196"},{"key":"e_1_3_2_1_16_1","volume-title":"Smart Mining for Deep Metric Learning. arXiv preprint arXiv:1704.01285","author":"Kumar Vijay BG","year":"2017","unstructured":"Vijay BG Kumar , Ben Harwood , Gustavo Carneiro , Ian Reid , and Tom Drummond . 2017. Smart Mining for Deep Metric Learning. arXiv preprint arXiv:1704.01285 ( 2017 ). Vijay BG Kumar, Ben Harwood, Gustavo Carneiro, Ian Reid, and Tom Drummond. 2017. Smart Mining for Deep Metric Learning. arXiv preprint arXiv:1704.01285 (2017)."},{"key":"e_1_3_2_1_17_1","unstructured":"Svetlana Lazebnik Cordelia Schmid and Jean Ponce. 2006. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. In Computer Vision and Pattern Recognition (CVPR).  Svetlana Lazebnik Cordelia Schmid and Jean Ponce. 2006. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. In Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_1_18_1","volume-title":"DeepReID: Deep Filter Pairing Neural Network for Person Re-identification","author":"Li Wei","year":"2014","unstructured":"Wei Li , Rui Zhao , Tong Xiao , and Xiaogang Wang . 2014. DeepReID: Deep Filter Pairing Neural Network for Person Re-identification . IEEE , 152--159. https:\/\/doi.org\/10.1109\/CVPR. 2014 .27 10.1109\/CVPR.2014.27 Wei Li, Rui Zhao, Tong Xiao, and Xiaogang Wang. 2014. DeepReID: Deep Filter Pairing Neural Network for Person Re-identification. IEEE, 152--159. https:\/\/doi.org\/10.1109\/CVPR.2014.27"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298832"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33863-2_39"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2700762"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"e_1_3_2_1_23_1","volume-title":"Workshops and Demonstrations.","volume":"7583","author":"Ma Bingpeng","year":"2012","unstructured":"Bingpeng Ma , Yu Su , and Fr\u00e9d\u00e9ric Jurie . 2012 . Local Descriptors Encoded by Fisher Vectors for Person Re-identification. In Computer Vision - ECCV 2012 . Workshops and Demonstrations. Vol. 7583 . Springer Berlin Heidelberg, Berlin, Heidelberg, 413--422. https:\/\/doi.org\/10.1007\/978-3-642-33863-2_41 10.1007\/978-3-642-33863-2_41 Bingpeng Ma, Yu Su, and Fr\u00e9d\u00e9ric Jurie. 2012. Local Descriptors Encoded by Fisher Vectors for Person Re-identification. In Computer Vision - ECCV 2012. Workshops and Demonstrations. Vol. 7583. Springer Berlin Heidelberg, Berlin, Heidelberg, 413--422. https:\/\/doi.org\/10.1007\/978-3-642-33863-2_41"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2014.04.002"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.152"},{"key":"e_1_3_2_1_26_1","volume-title":"Fisher kernels on visual vocabularies for image categorization. CVPR","author":"Perronnin Florent","year":"2007","unstructured":"Florent Perronnin and Christopher Dance . 2007. Fisher kernels on visual vocabularies for image categorization. CVPR ( 2007 ). Florent Perronnin and Christopher Dance. 2007. Fisher kernels on visual vocabularies for image categorization. CVPR (2007)."},{"key":"e_1_3_2_1_27_1","volume-title":"Fisher Vectors Meet Neural Networks: A Hybrid Classification Architecture. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Perronnin Florent","year":"2015","unstructured":"Florent Perronnin and Diane Larlus . 2015 . Fisher Vectors Meet Neural Networks: A Hybrid Classification Architecture. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Florent Perronnin and Diane Larlus. 2015. Fisher Vectors Meet Neural Networks: A Hybrid Classification Architecture. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_1_28_1","volume-title":"Improving the fisher kernel for large-scale image classification. ECCV","author":"Perronnin Florent","year":"2010","unstructured":"Florent Perronnin , Jorge S\u00e1nchez , and Thomas Mensink . 2010. Improving the fisher kernel for large-scale image classification. ECCV ( 2010 ). Florent Perronnin, Jorge S\u00e1nchez, and Thomas Mensink. 2010. Improving the fisher kernel for large-scale image classification. ECCV (2010)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2017.2713806"},{"key":"e_1_3_2_1_30_1","unstructured":"Tanzila Rahman. [n. d.]. Person Re-Identification by Localizing Discriminative Regions. ([n. d.]) 12.  Tanzila Rahman. [n. d.]. Person Re-Identification by Localizing Discriminative Regions. ([n. d.]) 12."},{"key":"e_1_3_2_1_31_1","volume-title":"CNN Features Off-the-Shelf: An Astounding Baseline for Recognition","author":"Razavian Ali Sharif","year":"2014","unstructured":"Ali Sharif Razavian , Hossein Azizpour , Josephine Sullivan , and Stefan Carlsson . 2014. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition . IEEE , 512--519. https:\/\/doi.org\/10.1109\/CVPRW. 2014 .131 10.1109\/CVPRW.2014.131 Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, and Stefan Carlsson. 2014. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition. IEEE, 512--519. https:\/\/doi.org\/10.1109\/CVPRW.2014.131"},{"key":"e_1_3_2_1_32_1","volume-title":"You only look once: Unified, real-time object detection. CVPR","author":"Redmon Joseph","year":"2016","unstructured":"Joseph Redmon , Santosh Divvala , Ross Girshick , and Ali Farhadi . 2016. You only look once: Unified, real-time object detection. CVPR ( 2016 ). Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi. 2016. You only look once: Unified, real-time object detection. CVPR (2016)."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33868-7_53"},{"key":"e_1_3_2_1_34_1","volume-title":"FaceNet: A Unified Embedding for Face Recognition and Clustering. CoRR abs\/1503.03832","author":"Schroff Florian","year":"2015","unstructured":"Florian Schroff , Dmitry Kalenichenko , and James Philbin . 2015. FaceNet: A Unified Embedding for Face Recognition and Clustering. CoRR abs\/1503.03832 ( 2015 ). http:\/\/arxiv.org\/abs\/1503.03832 Florian Schroff, Dmitry Kalenichenko, and James Philbin. 2015. FaceNet: A Unified Embedding for Face Recognition and Clustering. CoRR abs\/1503.03832 (2015). http:\/\/arxiv.org\/abs\/1503.03832"},{"key":"e_1_3_2_1_35_1","unstructured":"Karen Simonyan Andrea Vedaldi and Andrew Zisserman. 2013. Deep fisher networks for large-scale image classification. In Advances in neural information processing systems. 163--171.  Karen Simonyan Andrea Vedaldi and Andrew Zisserman. 2013. Deep fisher networks for large-scale image classification. In Advances in neural information processing systems. 163--171."},{"key":"e_1_3_2_1_36_1","unstructured":"K. Simonyan and A. Zisserman. 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. CoRR abs\/1409.1556 (2014).  K. Simonyan and A. Zisserman. 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. CoRR abs\/1409.1556 (2014)."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.5555\/2627435.2670313"},{"key":"e_1_3_2_1_38_1","volume-title":"Pose-Driven Deep Convolutional Model for Person Re-identification","author":"Su Chi","year":"2017","unstructured":"Chi Su , Jianing Li , Shiliang Zhang , Junliang Xing , Wen Gao , and Qi Tian . 2017. Pose-Driven Deep Convolutional Model for Person Re-identification . IEEE , 3980--3989. https:\/\/doi.org\/10.1109\/ICCV. 2017 .427 10.1109\/ICCV.2017.427 Chi Su, Jianing Li, Shiliang Zhang, Junliang Xing, Wen Gao, and Qi Tian. 2017. Pose-Driven Deep Convolutional Model for Person Re-identification. IEEE, 3980--3989. https:\/\/doi.org\/10.1109\/ICCV.2017.427"},{"key":"e_1_3_2_1_39_1","unstructured":"A. Vedaldi and B. Fulkerson. 2008. VLFeat: An Open and Portable Library of Computer Vision Algorithms. http:\/\/www.vlfeat.org\/. (2008).  A. Vedaldi and B. Fulkerson. 2008. VLFeat: An Open and Portable Library of Computer Vision Algorithms. http:\/\/www.vlfeat.org\/. (2008)."},{"key":"e_1_3_2_1_40_1","unstructured":"Kilian Q Weinberger John Blitzer and Lawrence K Saul. [n. d.]. Distance Metric Learning for Large Margin Nearest Neighbor Classification. ([n. d.]) 8.  Kilian Q Weinberger John Blitzer and Lawrence K Saul. [n. d.]. Distance Metric Learning for Large Margin Nearest Neighbor Classification. ([n. d.]) 8."},{"volume-title":"A Discriminative Feature Learning Approach for Deep Face Recognition","author":"Wen Yandong","key":"e_1_3_2_1_41_1","unstructured":"Yandong Wen , Kaipeng Zhang , Zhifeng Li , and Yu Qiao . 2016. A Discriminative Feature Learning Approach for Deep Face Recognition . Springer International Publishing , Cham , 499--515. https:\/\/doi.org\/10.1007\/978-3-319-46478-7_31 10.1007\/978-3-319-46478-7_31 Yandong Wen, Kaipeng Zhang, Zhifeng Li, and Yu Qiao. 2016. A Discriminative Feature Learning Approach for Deep Face Recognition. Springer International Publishing, Cham, 499--515. https:\/\/doi.org\/10.1007\/978-3-319-46478-7_31"},{"key":"e_1_3_2_1_42_1","volume-title":"Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Re-identification. arXiv.1606.01595 [cs] (June","author":"Wu Lin","year":"2016","unstructured":"Lin Wu , Chunhua Shen , and Anton van den Hengel . 2016. Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Re-identification. arXiv.1606.01595 [cs] (June 2016 ). http:\/\/arxiv.org\/abs\/1606.01595 arXiv: 1606.01595. Lin Wu, Chunhua Shen, and Anton van den Hengel. 2016. Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Re-identification. arXiv.1606.01595 [cs] (June 2016). http:\/\/arxiv.org\/abs\/1606.01595 arXiv: 1606.01595."},{"key":"e_1_3_2_1_43_1","volume-title":"Hauptmann","author":"Zheng Liang","year":"2016","unstructured":"Liang Zheng , Yi Yang , and Alexander G . Hauptmann . 2016 . Person Re-identification : Past, Present and Future . arXiv:1610.02984 [cs] (Oct. 2016). http:\/\/arxiv.org\/abs\/1610.02984 arXiv: 1610.02984. Liang Zheng, Yi Yang, and Alexander G. Hauptmann. 2016. Person Re-identification: Past, Present and Future. arXiv:1610.02984 [cs] (Oct. 2016). http:\/\/arxiv.org\/abs\/1610.02984 arXiv: 1610.02984."}],"event":{"name":"ICVGIP 2018: 11th Indian Conference on Computer Vision, Graphics and Image Processing","acronym":"ICVGIP 2018","location":"Hyderabad India"},"container-title":["Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3293353.3293402","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3293353.3293402","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:58:08Z","timestamp":1750208288000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3293353.3293402"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,18]]},"references-count":43,"alternative-id":["10.1145\/3293353.3293402","10.1145\/3293353"],"URL":"https:\/\/doi.org\/10.1145\/3293353.3293402","relation":{},"subject":[],"published":{"date-parts":[[2018,12,18]]},"assertion":[{"value":"2020-05-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}