{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,22]],"date-time":"2025-03-22T11:12:52Z","timestamp":1742641972639,"version":"3.40.2"},"reference-count":52,"publisher":"Chapman and Hall\/CRC","isbn-type":[{"type":"print","value":"9781439856840"},{"type":"electronic","value":"9781439856857"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,1,25]]},"DOI":"10.1201\/b11631-4","type":"book-chapter","created":{"date-parts":[[2012,3,5]],"date-time":"2012-03-05T12:22:43Z","timestamp":1330950163000},"page":"59-78","source":"Crossref","is-referenced-by-count":2,"title":["Neural Networks in Video Surveillance"],"prefix":"10.1201","author":[{"given":"Alfredo","family":"Petrosino","sequence":"first","affiliation":[]}],"member":"301","published-online":{"date-parts":[[2012,3,2]]},"reference":[{"key":"p_1","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1007\/BF02460791","volume":"42","author":"Amari S.I.","year":"1980","journal-title":"Bulletin Mathematical Biology"},{"key":"p_2","doi-asserted-by":"crossref","unstructured":"L. Ballan, M. Bertini, A. Del Bimbo, L. Seidenari, and G. Serra. Recognizing human actions by fusing spatio-temporal appearance and motion descriptors. InProc. of IEEE International Conference on Image Processing, ICIP'09, pages3569-3572, Cairo, Egypt, November 2009.","DOI":"10.1109\/ICIP.2009.5414332"},{"key":"p_3","doi-asserted-by":"crossref","unstructured":"M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri. Actions as space-time shapes. InProc. Tenth IEEE International Conference on Computer Vision, ICCV'05, 2:1395-1402,Oct. 2005.","DOI":"10.1109\/ICCV.2005.28"},{"key":"p_4","doi-asserted-by":"crossref","unstructured":"S. Brutzer, B. Hoferlin, and G. Heidemann. Evaluation of background subtraction techniques for video surveillance. InProc. of Computer Vision and Pattern Recognition, CVPR'11, pages1937-1944, 2011.","DOI":"10.1109\/CVPR.2011.5995508"},{"key":"p_5","doi-asserted-by":"crossref","unstructured":"V. Cantoni and A. Petrosino. 2-D object recognition by structured neural networks in a pyramidal architecture. InProceedings of the Fifth IEEE International Workshop on Computer Architectures for Machine Perception, pages81-86, 2000.","DOI":"10.1109\/CAMP.2000.875961"},{"journal-title":"IEEE Transactions on Industrial Electronics, PP(99):1","year":"2011","author":"Chacon M.","key":"p_6"},{"key":"p_7","doi-asserted-by":"crossref","unstructured":"M.I.M. Chacon, G.D. Sergio, and V.P. Javier. Simplified SOM-neural model for video segmentation of moving objects. InProceedings of International Joint Conference on Neural Networks, IJCNN'09, pages474-480, June 2009.","DOI":"10.1109\/IJCNN.2009.5178632"},{"key":"p_8","doi-asserted-by":"crossref","unstructured":"B. Chen, W. Wang, and Q. Qin. Infrared target detection based on fuzzy art neural network. InProceedings of the Second International Conference on Computational Intelligence and Natural Computing, CINC'10, 2:240-243,Sept. 2010.","DOI":"10.1109\/CINC.2010.5643745"},{"key":"p_9","doi-asserted-by":"publisher","DOI":"10.1109\/3477.775269"},{"key":"p_10","doi-asserted-by":"publisher","DOI":"10.1109\/34.1000236"},{"key":"p_11","doi-asserted-by":"publisher","DOI":"10.1007\/BF00318206"},{"key":"p_12","doi-asserted-by":"crossref","unstructured":"A.M. Cretu, E.M. Petriu, P. Payeur, and F.F. Khalil. Deformable object segmentation and contour tracking in image sequences using unsupervised networks. InProc. of Canadian Conference Computer and Robot Vision, pages277-284. IEEE,2010.","DOI":"10.1109\/CRV.2010.43"},{"key":"p_13","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2007.896861"},{"key":"p_14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.912918"},{"key":"p_15","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2005.849822"},{"key":"p_16","unstructured":"G. A. Drumea and H. Frezza-Buet. Tracking fast changing non-stationary distributions with a topologically adaptive neural network: Application to video tracking. InProceedings of the 15th European Symposium on Artificial Neural Networks, ESANN 2007, pages43-48, Bruges, Belgium, April25-27,2007."},{"key":"p_17","unstructured":"E. Fauske, L.M. Eliassen, and R.H. Bakken. A comparison of learning based background subtraction techniques implemented in cuda. InProc. of Norwegian Artificial Intelligence Symposium, pages181-192, 2009."},{"key":"p_18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-02481-8_35"},{"volume-title":"The Formation of Nerve Connections","year":"1970","author":"Gaze R. M.","key":"p_19"},{"key":"p_20","series-title":"Lecture Notes in Computer Science, 6586: 327-334","volume-title":"Real-time stopped object detection by neural dual background modeling","author":"Gemignani G.","year":"2011"},{"volume-title":"The Organization of Behavior","year":"1949","author":"Hebb D.O.","key":"p_21"},{"key":"p_22","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2010.2064299"},{"issue":"5","key":"p_23","first-page":"66","volume":"27","author":"Jacques Junior J.C.S.","year":"2010","journal-title":"IEEE Signal Processing Magazine"},{"key":"p_24","doi-asserted-by":"crossref","unstructured":"T. Jan, M. Piccardi, and T. Hintz. Neural network classifiers for automated video surveillance. InProceedings of the IEEE 13th Workshop on Neural Networks for Signal Processing, NNSP'03, pages729-738, Sept. 2003.","DOI":"10.1109\/NNSP.2003.1318072"},{"key":"p_25","series-title":"Lecture Notes in Artificial Intelligence, 2639: 640-643","volume-title":"SOM based image segmentation","author":"Jiang Y.","year":"2003"},{"key":"p_26","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.05.006"},{"key":"p_27","doi-asserted-by":"publisher","DOI":"10.1007\/BF00337288"},{"key":"p_28","doi-asserted-by":"crossref","unstructured":"S. Kondra and V. Torre. Texture classification using three circular filters. InProceedings of the Sixth Indian Conference on Computer Vision, Graphics Image Processing, ICVGIP '08, pages429-434, Dec. 2008.","DOI":"10.1109\/ICVGIP.2008.24"},{"key":"p_29","doi-asserted-by":"crossref","unstructured":"D. Kong, D. Gray, and H. Tao. A viewpoint invariant approach for crowd counting. InProceedings of the 18th International Conference on Pattern Recognition, ICPR'06, 3:1187-1190, 2006.","DOI":"10.1109\/ICPR.2006.197"},{"key":"p_30","doi-asserted-by":"publisher","DOI":"10.1142\/S012906571100281X"},{"key":"p_31","doi-asserted-by":"crossref","unstructured":"R. M. Luque, J.M. Ortiz-De-Lazcano-Lobato, E. Lopez-Rubio, and E. J. Palomo. Object tracking in video sequences by unsupervised learning. InProceedings of the 13th International Conference on Computer Analysis of Images and Patterns, CAIP '09, pages1070-1077, Berlin, Heidelberg, 2009. Springer-Verlag.","DOI":"10.1007\/978-3-642-03767-2_130"},{"key":"p_32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2008.924285"},{"key":"p_33","doi-asserted-by":"crossref","unstructured":"L. Maddalena and A. Petrosino. 3D neural model-based stopped object detection. InProceedings of the 15th International Conference on Image Analysis and Processing, ICIAP '09, pages585-593. Springer-Verlag, 2009.","DOI":"10.1007\/978-3-642-04146-4_63"},{"key":"p_34","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-009-0285-8"},{"volume-title":"Bridging neural visual information processing and video surveillance","year":"2012","author":"Maddalena L.","key":"p_35"},{"issue":"2","key":"p_36","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1113\/jphysiol.1969.sp008820","volume":"202","author":"Marr D.","year":"1969","journal-title":"J. Physiol."},{"key":"p_37","unstructured":"M. K. Moghaddam and R. Safabakhsh. TASOM-based lip tracking using the color and geometry of the face. In M.A. Wani, M.G. Milanova, L.A. Kurgan, M. Reformat, and K. Hafeez, Editors, Proc. of Fourth International Conference on Machine Learning and Applications, ICMLA '05. IEEEComputer Society, 2005."},{"key":"p_38","doi-asserted-by":"crossref","unstructured":"S. H. Ong, N. C. Yeo, K. H. Lee, Y. V. Venkatesh, and D. M. Cao. Segmentation of color images using a two-stage self-organizing network. Image Vision Comput., pages279-289, 2002.","DOI":"10.1016\/S0262-8856(02)00021-5"},{"key":"p_39","doi-asserted-by":"crossref","unstructured":"J. Owens and A. Hunter. Application of the self-organising map to trajectory classification. InProceedings of the Third IEEE International Workshop on Visual Surveillance, pages77-83, 2000.","DOI":"10.1109\/VS.2000.856860"},{"key":"p_40","unstructured":"J. Owens, A. Hunter, and E. Fletcher. Novelty detection in video surveillance using hierarchical neural networks. In J. Dorronsoro, Editor, Artificial Neural Networks ICANN 2002, Vol.2415of Lecture Notes in Computer Science, page 140. Springer Berlin \/ Heidelberg, 2002."},{"issue":"3","key":"p_41","doi-asserted-by":"crossref","first-page":"187","DOI":"10.3390\/mca14030187","volume":"14","author":"Ozkurt C.","year":"2009","journal-title":"Mathematical and Computational Applications"},{"key":"p_42","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.875978"},{"key":"p_43","doi-asserted-by":"publisher","DOI":"10.1002\/0471644676"},{"key":"p_44","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-1684(00)00280-2"},{"key":"p_45","doi-asserted-by":"publisher","DOI":"10.1109\/25.892603"},{"key":"p_46","doi-asserted-by":"crossref","unstructured":"C. Sacchi, C.S. Regazzoni, and G. Vernazza. A neural network-based image processing system for detection of vandal acts in unmanned railway environments. InProceedings of the 11th International Conference on Image Analysis and Processing, pages529-534, Sept. 2001.","DOI":"10.1109\/ICIAP.2001.957064"},{"key":"p_47","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(95)00163-8"},{"key":"p_48","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(02)00377-X"},{"key":"p_49","doi-asserted-by":"publisher","DOI":"10.1038\/222960a0"},{"key":"p_50","doi-asserted-by":"publisher","DOI":"10.1098\/rspb.1976.0087"},{"key":"p_51","doi-asserted-by":"publisher","DOI":"10.1109\/34.982883"},{"key":"p_52","doi-asserted-by":"crossref","unstructured":"W. Zhiming, Z. Li, and B. Hong. Pnn based motion detection with adaptive learning rate. InProceedings of the International Conference on Computational Intelligence and Security, CIS '09, 1:301-306,Dec. 2009.","DOI":"10.1109\/CIS.2009.178"}],"container-title":["Chapman & Hall\/CRC Cryptography and Network Security Series","Handbook on Soft Computing for Video Surveillance"],"original-title":[],"language":"en","deposited":{"date-parts":[[2025,3,22]],"date-time":"2025-03-22T10:38:14Z","timestamp":1742639894000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.crcnetbase.com\/doi\/abs\/10.1201\/b11631-4"}},"subtitle":["A Perspective View"],"short-title":[],"issued":{"date-parts":[[2012,1,25]]},"ISBN":["9781439856840","9781439856857"],"references-count":52,"alternative-id":["10.1201\/b11631-4","10.1201\/CHCRYNETSEC","10.1201\/b11631"],"URL":"https:\/\/doi.org\/10.1201\/b11631-4","relation":{},"ISSN":["2154-4670"],"issn-type":[{"type":"print","value":"2154-4670"}],"subject":[],"published":{"date-parts":[[2012,1,25]]}}}