{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T21:06:08Z","timestamp":1725915968414},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319708324"},{"type":"electronic","value":"9783319708331"}],"license":[{"start":{"date-parts":[[2017,11,12]],"date-time":"2017-11-12T00:00:00Z","timestamp":1510444800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-70833-1_51","type":"book-chapter","created":{"date-parts":[[2017,11,11]],"date-time":"2017-11-11T12:02:54Z","timestamp":1510401774000},"page":"627-639","source":"Crossref","is-referenced-by-count":0,"title":["Learning Leg Pattern Using Laser Range Finder in Mobile Robots"],"prefix":"10.1007","author":[{"given":"Eugenio","family":"Aguirre","sequence":"first","affiliation":[]},{"given":"Miguel","family":"Garc\u00eda-Silvente","sequence":"additional","affiliation":[]},{"given":"Marcelo","family":"Garc\u00eda-P\u00e9rez","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,11,12]]},"reference":[{"key":"51_CR1","first-page":"1","volume":"32","author":"F Aherne","year":"1997","unstructured":"Aherne, F., Thacker, N., Rockett, P.: The bhattacharyya metric as an absolute similarity measure for frequency coded data. Kybernetica 32, 1\u20137 (1997)","journal-title":"Kybernetica"},{"issue":"02","key":"51_CR2","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1142\/S0218213011000176","volume":"20","author":"A Ansuategui","year":"2011","unstructured":"Ansuategui, A., Ibarguren, A., Mart\u00ednez-Otzeta, J.M., Tub\u00edo, C., Lazkano, E.: Particle filtering for people following behavior using laser scans and stereo vision. Int. J. Artif. Intell. Tools 20(02), 313\u2013326 (2011)","journal-title":"Int. J. Artif. Intell. Tools"},{"issue":"2","key":"51_CR3","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1109\/78.978374","volume":"50","author":"MS Arulampalam","year":"2002","unstructured":"Arulampalam, M.S., Maskell, S., Gordon, N., Clapp, T.: A tutorial on particle filters for online nonlinear\/non-gaussian bayesian tracking. IEEE Trans. Signal Process. 50(2), 174\u2013188 (2002)","journal-title":"IEEE Trans. Signal Process."},{"issue":"1","key":"51_CR4","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1109\/TSMCB.2008.2004050","volume":"39","author":"N Bellotto","year":"2009","unstructured":"Bellotto, N., Hu, H.: Multisensor-based human detection and tracking for mobile service robots. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 39(1), 167\u2013181 (2009)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B: Cybern."},{"issue":"8","key":"51_CR5","doi-asserted-by":"crossref","first-page":"3156","DOI":"10.1109\/TIE.2011.2170389","volume":"59","author":"W Chung","year":"2012","unstructured":"Chung, W., Kim, H., Yoo, Y., Moon, C.-B., Park, J.: The detection and following of human legs through inductive approaches for a mobile robot with a single laser range finder. IEEE Trans. Industr. Electron. 59(8), 3156\u20133166 (2012)","journal-title":"IEEE Trans. Industr. Electron."},{"key":"51_CR6","volume-title":"Fundamentals of Interactive Computer Graphics","author":"JD Foley","year":"1982","unstructured":"Foley, J.D., van Dam, A.: Fundamentals of Interactive Computer Graphics. Addison Wesley, Boston (1982)"},{"key":"51_CR7","unstructured":"Frank, E., Hall, M.A., Witten, I.H.: The weka workbench. In: Data Mining: Practical Machine Learning Tools and Techniques, 4th edn. Morgan Kaufmann (2016)"},{"key":"51_CR8","unstructured":"Sick Sensor Intelligence. Sick sensor intelligence, LMS200 (2002)"},{"key":"51_CR9","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1008078328650","volume":"29","author":"M Isard","year":"1998","unstructured":"Isard, M., Blake, A.: Condensation-conditional density propagation for visual trackings. Int. J. Comput. Vis. 29, 5\u201328 (1998)","journal-title":"Int. J. Comput. Vis."},{"issue":"2","key":"51_CR10","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","volume":"28","author":"SP Lloyd","year":"1982","unstructured":"Lloyd, S.P.: Least squares quantization in PCM. IEEE Trans. Inf. Theory 28(2), 129\u2013137 (1982)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"51_CR11","unstructured":"Microsoft. Kinect official webpage (2010)"},{"key":"51_CR12","doi-asserted-by":"crossref","unstructured":"Papadopoulos, G.T., Axenopoulos, A., Daras, P.: Real-time skeleton-tracking-based human action recognition using kinect data. In: Gurrin, C., Hopfgartner, F., H\u00fcrst, W., Johansen, H.D., Lee, H., O\u2019Connor, N.E. (eds.) MMM. Lecture Notes in Computer Science (1), vol. 8325, pp. 473\u2013483. Springer (2014)","DOI":"10.1007\/978-3-319-04114-8_40"},{"key":"51_CR13","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1016\/j.ijar.2011.11.003","volume":"53","author":"R Pa\u00fal","year":"2012","unstructured":"Pa\u00fal, R., Aguirre, E., Garc\u00eda-Silvente, M., Mu\u00f1oz-Salinas, R.: A new fuzzy based algorithm for solving stereo vagueness in detecting and tracking people. Int. J. Approximate Reasoning 53, 693\u2013708 (2012)","journal-title":"Int. J. Approximate Reasoning"},{"key":"51_CR14","unstructured":"Prabhu, S., Bhuchhada, J.K., Dabhi, J.K., Shetty, P.: Real time skeleton tracking based human recognition system using kinect and arduino. In: IJCA Proceedings on National Conference on Role of Engineers in Nation Building, NCRENB 2015 (2), pp. 1\u20136 (2015)"},{"key":"51_CR15","unstructured":"Primesense. Primesense official webpage (2005)"},{"key":"51_CR16","unstructured":"ActivMedia Robotics. Performance Peoplebot Robot"},{"key":"51_CR17","doi-asserted-by":"crossref","unstructured":"Schenk, K., Eisenbach, M., Kolarow, A., Gross, H.: Comparison of laser-based person tracking at feet and upper-body height. In: Bach, J., Edelkamp, S. (eds.) KI 2011: Advances in Artificial Intelligence. Lecture Notes in Computer Science, vol. 7006, pp. 277\u2013288. Springer (2011)","DOI":"10.1007\/978-3-642-24455-1_27"},{"key":"51_CR18","doi-asserted-by":"crossref","unstructured":"Shao, X., Katabira, K., Shibasaki, R., Zhao, H., Nakagawa, Y.: Tracking a variable number of pedestrians in crowded scenes by using laser range scanners. In: 2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008, pp. 1545\u20131551, October 2008","DOI":"10.1109\/ICSMC.2008.4811506"},{"key":"51_CR19","doi-asserted-by":"crossref","first-page":"271","DOI":"10.5772\/56123","volume":"10","author":"L Susperregi","year":"2013","unstructured":"Susperregi, L., Mart\u00ednez-Otzeta, J.M., Ansuategui, A., Ibarguren, A., Sierra, B.: RGB-D, laser and thermal sensor fusion for people following in a mobile robot. Int. J. Adv. Robot. Syst. 10, 271 (2013)","journal-title":"Int. J. Adv. Robot. Syst."},{"key":"51_CR20","doi-asserted-by":"crossref","unstructured":"Weinrich, C., Wengefeld, T., Schroeter, C., Gross, H.M.: People detection and distinction of their walking aids in 2D laser range data based on generic distance-invariant features. In: The 23rd IEEE International Symposium on Robot and Human Interactive Communication, pp. 767\u2013773 (2014)","DOI":"10.1109\/ROMAN.2014.6926346"},{"key":"51_CR21","doi-asserted-by":"crossref","unstructured":"Xia, L., Chen, C.-C., Aggarwal, J.K.: Human detection using depth information by kinect. In: 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 15\u201322, June 2011","DOI":"10.1109\/CVPRW.2011.5981811"},{"issue":"2","key":"51_CR22","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/MMUL.2012.24","volume":"19","author":"Z Zhang","year":"2012","unstructured":"Zhang, Z.: Microsoft kinect sensor and its effect. IEEE MultiMedia 19(2), 4\u201310 (2012)","journal-title":"IEEE MultiMedia"}],"container-title":["Advances in Intelligent Systems and Computing","ROBOT 2017: Third Iberian Robotics Conference"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-70833-1_51","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,6]],"date-time":"2019-10-06T01:25:39Z","timestamp":1570325139000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-70833-1_51"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11,12]]},"ISBN":["9783319708324","9783319708331"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-70833-1_51","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2017,11,12]]}}}