{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T18:45:32Z","timestamp":1762368332416,"version":"build-2065373602"},"reference-count":25,"publisher":"Tsinghua University Press","issue":"2","content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Comp. Visual. Med."],"published-print":{"date-parts":[[2016,6]]},"DOI":"10.1007\/s41095-016-0039-3","type":"journal-article","created":{"date-parts":[[2016,3,1]],"date-time":"2016-03-01T07:15:23Z","timestamp":1456816523000},"page":"143-152","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Rethinking random Hough Forests for video database indexing and pattern search"],"prefix":"10.26599","volume":"2","author":[{"given":"Craig","family":"Henderson","sequence":"first","affiliation":[{"name":"Multimedia and Vision Research Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ebroul","family":"Izquierdo","sequence":"additional","affiliation":[{"name":"Multimedia and Vision Research Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"11138","reference":[{"key":"39_CR1","first-page":"1022","volume-title":"Proceedings of IEEE Conference on Computer Vision and Pattern Recognition","author":"J. Gall","year":"2009","unstructured":"Gall, J.; Lempitsky, V. Class-specific Hough forests for object detection. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 1022\u20131029, 2009"},{"issue":"11","key":"39_CR2","doi-asserted-by":"crossref","first-page":"2188","DOI":"10.1109\/TPAMI.2011.70","volume":"33","author":"J. Gall","year":"2011","unstructured":"Gall, J.; Yao, A.; Razavi, N.; Van Gool, L.; Lempitsky, V. Hough forests for object detection, tracking, and action recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 33, No. 11, 2188\u20132202, 2011","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"1","key":"39_CR3","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L. Breiman","year":"2001","unstructured":"Breiman, L. Random forests. Machine Learning Vol. 45, No. 1, 5\u201332, 2001","journal-title":"Machine Learning"},{"issue":"9","key":"39_CR4","doi-asserted-by":"crossref","first-page":"1773","DOI":"10.1109\/TPAMI.2012.79","volume":"34","author":"O. Barinova","year":"2012","unstructured":"Barinova, O.; Lempitsky, V.; Kholi, P. On detection of multiple object instances using Hough transforms. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 34, No. 9, 1773\u20131784, 2012","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"5","key":"39_CR5","doi-asserted-by":"crossref","first-page":"1066","DOI":"10.1109\/TPAMI.2012.194","volume":"35","author":"N. Payet","year":"2013","unstructured":"Payet, N.; Todorovic, S. Hough forest random field for object recognition and segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 35, No. 5, 1066\u20131079, 2013","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"39_CR6","volume-title":"Proceedings of British Machine Vision Conference","author":"N. Razavi","year":"2012","unstructured":"Razavi, N.; Alvar, N. S.; Gall, J.; Van Gool, L. Sparsity potentials for detecting objects with the Hough transform. In: Proceedings of British Machine Vision Conference, 11.1\u201311.10, 2012."},{"key":"39_CR7","first-page":"1653","volume-title":"Proceedings of IEEE International Conference on Image Processing","author":"A. Srikantha","year":"2014","unstructured":"Srikantha, A.; Gall, J. Hough-based object detection with grouped features. In: Proceedings of IEEE International Conference on Image Processing, 1653\u20131657, 2014"},{"issue":"5","key":"39_CR8","doi-asserted-by":"crossref","first-page":"2053","DOI":"10.1109\/JSTARS.2015.2404578","volume":"8","author":"N. Yokoya","year":"2015","unstructured":"Yokoya, N.; Iwasaki, A. Object detection based on sparse representation and Hough voting for optical remote sensing imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 8, No. 5, 2053\u20132062, 2015","journal-title":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"},{"key":"39_CR9","doi-asserted-by":"crossref","first-page":"1245","DOI":"10.1016\/j.cviu.2012.11.005","volume":"117","author":"M. Godec","year":"2013","unstructured":"Godec, M.; Roth, P. M.; Bischof, H. Hough-based tracking of non-rigid objects. Computer Vision and Image Understanding Vol. 117, 1245\u20131256, 2013","journal-title":"Computer Vision and Image Understanding"},{"key":"39_CR10","first-page":"966","volume-title":"Proceedings of IEEE International Conference on Computer Vision Workshops","author":"K. Rematas","year":"2011","unstructured":"Rematas, K.; Leibe, B. Efficient object detection and segmentation with a cascaded Hough Forest ISM. In: Proceedings of IEEE International Conference on Computer Vision Workshops, 966\u2013973, 2011"},{"key":"39_CR11","first-page":"306","volume-title":"Lecture Notes in Computer Science","author":"D. Waltisberg","year":"2010","unstructured":"Waltisberg, D.; Yao, A.; Gall, J.; Van Gool, L. Variations of a Hough-voting action recognition system. In: Lecture Notes in Computer Science, Vol. 6388. \u00dcnay, D.; C\u00b8 ataltepe, Z.; Aksoy, S. Eds. Springer Berlin Heidelberg, 306\u2013312, 2010."},{"key":"39_CR12","first-page":"2061","volume-title":"Proceedings of IEEE Conference on Computer Vision and Pattern Recognition","author":"A. Yao","year":"2010","unstructured":"Yao, A.; Gall, J; Van Gool, L. A Hough transformbased voting framework for action recognition. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2061\u20132068, 2010"},{"key":"39_CR13","first-page":"865","volume-title":"Proceedings of IEEE Conference on Computer Vision and Pattern Recognition","author":"G. Yu","year":"2011","unstructured":"Yu, G.; Yuan, J.; Liu, Z. Unsupervised random forest indexing for fast action search. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 865\u2013872, 2011"},{"key":"39_CR14","first-page":"243","volume-title":"Proceedings of the 15th International Conference on Theoretical Foundations of Computer Vision: Outdoor and Large-scale Real-world Scene Analysis","author":"J. Gall","year":"2012","unstructured":"Gall, J.; Razavi, N.; Van Gool, L. An introduction to random forests for multi-class object detection. In: Proceedings of the 15th International Conference on Theoretical Foundations of Computer Vision: Outdoor and Large-scale Real-world Scene Analysis, 243\u2013263, 2012"},{"key":"39_CR15","first-page":"69","volume-title":"Proceedings of International Conference on Systems, Signals and Image Processing","author":"C. Henderson","year":"2015","unstructured":"Henderson, C.; Izquierdo, E. Minimal Hough forest training for pattern detection. In: Proceedings of International Conference on Systems, Signals and Image Processing, 69\u201372, 2015"},{"key":"39_CR16","first-page":"886","volume":"1","author":"N. Dalal","year":"2005","unstructured":"Dalal, N.; Triggs, B. Histograms of oriented gradients for human detection. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 1, 886\u2013893, 2005","journal-title":"Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition"},{"issue":"1","key":"39_CR17","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1007\/s11263-007-0095-3","volume":"77","author":"B. Leibe","year":"2008","unstructured":"Leibe, B.; Leonardis, A.; Schiele, B. Robust object detection with interleaved categorization and segmentation. International Journal of Computer Vision Vol. 77, No. 1, 259\u2013289, 2008","journal-title":"International Journal of Computer Vision"},{"issue":"8","key":"39_CR18","doi-asserted-by":"crossref","first-page":"976","DOI":"10.1177\/0278364909340444","volume":"28","author":"A. Thomas","year":"2009","unstructured":"Thomas, A.; Ferrari, V.; Leibe, B.; Tuytelaars, T.; Van Gool, L. Using multi-view recognition and metadata annotation to guide a robot\u2019s attention. The International Journal of Robotics Research Vol. 28, No. 8, 976\u2013998, 2009","journal-title":"The International Journal of Robotics Research"},{"key":"39_CR19","first-page":"620","volume-title":"Lecture Notes in Computer Science","author":"N. Razavi","year":"2010","unstructured":"Razavi, N.; Gall, J.; Van Gool, L. Backprojection revisited: Scalable multi-view object detection and similarity metrics for detections. In: Lecture Notes in Computer Science, Vol. 6311. Daniilidis, K.; Maragos, P.; Paragios, N. Eds. Springer Berlin Heidelberg, 620\u2013633, 2010"},{"issue":"1","key":"39_CR20","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.cviu.2005.09.012","volume":"106","author":"F.-F. Li","year":"2007","unstructured":"Li, F.-F.; Fergus, R.; Perona, P. Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. Computer Vision and Image Understanding Vol. 106, No. 1, 59\u201370, 2007","journal-title":"Computer Vision and Image Understanding"},{"key":"39_CR21","volume-title":"California Institute of Technology","author":"G. Griffin","year":"2007","unstructured":"Griffin, G.; Holub, A.; Perona, P. Caltech- 256 object category dataset. Technical Report. California Institute of Technology, 2007. Available at http:\/\/authors.library.caltech.edu\/7694\/1\/CNS-TR- 2007-001.pdf."},{"key":"39_CR22","volume-title":"ACM Computing Surveys","author":"J. Zobel","year":"2006","unstructured":"Zobel, J.; Moffat, A. Inverted files for text search engines. ACM Computing Surveys Vol. 38, No. 2, Article No. 6, 2006"},{"key":"39_CR23","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1145\/347090.347107","volume-title":"Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","author":"P. Domingos","year":"2000","unstructured":"Domingos, P.; Hulten, G. Mining high-speed data streams. In: Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 71\u201380, 2000"},{"key":"39_CR24","volume-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence","author":"M. Ristin","year":"2015","unstructured":"Ristin, M.; Guillaumin, M.; Gall, J.; Van Gool, L. Incremental learning of random forests for largescale image classification. IEEE Transactions on Pattern Analysis and Machine Intelligence DOI: 10.1109\/TPAMI.2015.2459678, 2015"},{"key":"39_CR25","first-page":"1","volume-title":"Proceedings of the 6th International Conference on Imaging for Crime Prevention and Detection","author":"C. Henderson","year":"2015","unstructured":"Henderson, C.; Blasi, S. G.; Sobhani, F.; Izquierdo, E. On the impurity of street-scene video footage. In: Proceedings of the 6th International Conference on Imaging for Crime Prevention and Detection, 1\u20137, 2015"}],"container-title":["Computational Visual Media"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10750449\/10897436\/10897441.pdf?arnumber=10897441","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T18:38:27Z","timestamp":1762367907000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10897441\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6]]},"references-count":25,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1007\/s41095-016-0039-3","relation":{},"ISSN":["2096-0662","2096-0433"],"issn-type":[{"type":"electronic","value":"2096-0662"},{"type":"print","value":"2096-0433"}],"subject":[],"published":{"date-parts":[[2016,6]]}}}