{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:54:13Z","timestamp":1740099253996,"version":"3.37.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030059170"},{"type":"electronic","value":"9783030059187"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-05918-7_18","type":"book-chapter","created":{"date-parts":[[2018,12,17]],"date-time":"2018-12-17T18:43:18Z","timestamp":1545072198000},"page":"205-214","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Industry 4.0, Intelligent Visual Assisted Picking Approach"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8191-9689","authenticated-orcid":false,"given":"Mario","family":"Arbulu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0638-1815","authenticated-orcid":false,"given":"Paola","family":"Mateus","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2726-0278","authenticated-orcid":false,"given":"Manuel","family":"Wagner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1134-009X","authenticated-orcid":false,"given":"Cristian","family":"Beltran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7576-756X","authenticated-orcid":false,"given":"Kensuke","family":"Harada","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,12,18]]},"reference":[{"issue":"4","key":"18_CR1","doi-asserted-by":"publisher","first-page":"1677","DOI":"10.1109\/TII.2018.2809000","volume":"14","author":"M Indri","year":"2018","unstructured":"Indri, M., Grau, A., Ruderman, M.: Guest editorial special section on recent trends and developments in industry 4.0 motivated robotic solutions. IEEE Trans. Ind. Inform. 14(4), 1677\u20131680 (2018). \nhttps:\/\/doi.org\/10.1109\/TII.2018.2809000","journal-title":"IEEE Trans. Ind. Inform."},{"issue":"4","key":"18_CR2","doi-asserted-by":"publisher","first-page":"2272","DOI":"10.1109\/JIOT.2017.2728722","volume":"5","author":"J Wan","year":"2018","unstructured":"Wan, J., Tang, S., Hua, Q., Li, D., Liu, C., Lloret, J.: Context-aware cloud robotics for material handling in cognitive industrial Internet of Things. IEEE Internet Things J. 5(4), 2272\u20132281 (2018). \nhttps:\/\/doi.org\/10.1109\/JIOT.2017.2728722","journal-title":"IEEE Internet Things J."},{"key":"18_CR3","unstructured":"World Robot Summit 2018. \nhttp:\/\/worldrobotsummit.org\/en\/"},{"issue":"5","key":"18_CR4","doi-asserted-by":"publisher","first-page":"1234","DOI":"10.1109\/TPAMI.2012.183","volume":"35","author":"C Nieuwenhuis","year":"2013","unstructured":"Nieuwenhuis, C., Cremers, D.: Spatially varying color distributions for interactive multilabel segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 35(5), 1234\u20131247 (2013). \nhttps:\/\/doi.org\/10.1109\/TPAMI.2012.183","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"8","key":"18_CR5","doi-asserted-by":"publisher","first-page":"1375","DOI":"10.1109\/TCSVT.2013.2242551","volume":"23","author":"AR Rivera","year":"2013","unstructured":"Rivera, A.R., Murshed, M., Kim, J., Chae, O.: Background modeling through statistical edge-segment distributions. IEEE Trans. Circuits Syst. Video Technol. 23(8), 1375\u20131387 (2013). \nhttps:\/\/doi.org\/10.1109\/TCSVT.2013.2242551","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"10\u201311","key":"18_CR6","doi-asserted-by":"publisher","first-page":"781","DOI":"10.1177\/027836490302210001","volume":"22","author":"Y Mezouar","year":"2003","unstructured":"Mezouar, Y., Chaumette, F.: Optimal camera trajectory with imagebased control. Int. J. Robot. Res. 22(10\u201311), 781\u2013804 (2003)","journal-title":"Int. J. Robot. Res."},{"key":"18_CR7","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1016\/j.neucom.2014.04.054","volume":"144","author":"M Guo","year":"2014","unstructured":"Guo, M., Zhao, Y., Zhang, C., Chen, Z.: Fast object detection based on selective visual attention. Neurocomputing 144, 184\u2013197 (2014)","journal-title":"Neurocomputing"},{"key":"18_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/978-3-642-37431-9_4","volume-title":"Computer Vision \u2013 ACCV 2012","author":"S Stalder","year":"2013","unstructured":"Stalder, S., Grabner, H., Van Gool, L.: Dynamic objectness for adaptive tracking. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds.) ACCV 2012. LNCS, vol. 7726, pp. 43\u201356. Springer, Heidelberg (2013). \nhttps:\/\/doi.org\/10.1007\/978-3-642-37431-9_4"},{"key":"18_CR9","doi-asserted-by":"crossref","unstructured":"Zhu, W., Liang, S., Wei, Y., Sun, J.: Saliency optimization from robust background detection. In: Proceedings of CVPR, pp. 2814\u20132821, June 2014","DOI":"10.1109\/CVPR.2014.360"},{"issue":"12","key":"18_CR10","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1167\/9.12.15","volume":"9","author":"HJ Seo","year":"2009","unstructured":"Seo, H.J., Milanfar, P.: Static and space-time visual saliency detection by self-resemblance. J. Vis. 9(12), 15 (2009). Art. no. 15","journal-title":"J. Vis."},{"key":"18_CR11","doi-asserted-by":"crossref","unstructured":"Bai, X., Sapiro, G.: A geodesic framework for fast interactive image and video segmentation and matting. In: IEEE 11th International Conference on Computer Vision, pp. 1\u20138 (2007)","DOI":"10.21236\/ADA478319"},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Price, B., Morse, B., Cohen, S.: Geodesic graph cut for interactive image segmentation. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 3161\u20133168 (2010)","DOI":"10.1109\/CVPR.2010.5540079"},{"issue":"2","key":"18_CR13","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1109\/4.996","volume":"23","author":"N Kanopoulos","year":"1988","unstructured":"Kanopoulos, N., Vasanthavada, N., Baker, R.L.: Design of an image edge detection filter using the Sobel operator. IEEE J. Solid State Circuits 23(2), 358\u2013367 (1988)","journal-title":"IEEE J. Solid State Circuits"},{"issue":"2","key":"18_CR14","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1109\/TIP.2011.2166558","volume":"21","author":"J Chen","year":"2012","unstructured":"Chen, J., Su, C., Grimson, W.E.L., Liu, J., Shiue, D.: Object segmentation of database images by dual multiscale morphological reconstructions and retrieval applications. IEEE Trans. Image Process. 21(2), 828\u2013843 (2012). \nhttps:\/\/doi.org\/10.1109\/TIP.2011.2166558","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"18_CR15","doi-asserted-by":"publisher","first-page":"1042","DOI":"10.1109\/83.392348","volume":"4","author":"XC Jin","year":"1995","unstructured":"Jin, X.C., Ong, S.H., Jayasooriah, A.: Domain operator for binary morphological processing. IEEE Trans. Image Process. 4(7), 1042\u20131046 (1995). \nhttps:\/\/doi.org\/10.1109\/83.392348","journal-title":"IEEE Trans. Image Process."},{"key":"18_CR16","first-page":"478","volume-title":"Two-Dimensional Signal and Image Processing","author":"JS Lim","year":"1990","unstructured":"Lim, J.S.: Two-Dimensional Signal and Image Processing, pp. 478\u2013488. Prentice Hall, Englewood Cliffs (1990)"},{"key":"18_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1007\/11744023_32","volume-title":"Computer Vision \u2013 ECCV 2006","author":"H Bay","year":"2006","unstructured":"Bay, H., Tuytelaars, T., Van Gool, L.: SURF: speeded up robust features. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 404\u2013417. Springer, Heidelberg (2006). \nhttps:\/\/doi.org\/10.1007\/11744023_32"},{"key":"18_CR18","unstructured":"Yaniv, Z.: Random sample consensus (RANSAC) algorithm, a generic implementation. Insight J., 1\u201314 (2010). \nhttp:\/\/www.insight-journal.org\/browse\/publication\/769"},{"issue":"1","key":"18_CR19","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1109\/TRO.2011.2168170","volume":"28","author":"SK Mustafa","year":"2012","unstructured":"Mustafa, S.K., Agrawal, S.K.: On the force-closure analysis of n-DOF cable-driven open chains based on reciprocal screw theory. IEEE Trans. Robot. 28(1), 22\u201331 (2012). \nhttps:\/\/doi.org\/10.1109\/TRO.2011.2168170","journal-title":"IEEE Trans. Robot."},{"issue":"1","key":"18_CR20","doi-asserted-by":"publisher","first-page":"172988141875515","DOI":"10.1177\/1729881418755157","volume":"15","author":"Igor Dimovski","year":"2018","unstructured":"Dimovski, I., Trompeska, M., Samak, S., Dukovski, V., Cvetkoska, D.: Algorithmic approach to geometric solution of generalized PadenKahan subproblem and its extension. Int. J. Adv. Robot. Syst., 1\u201311 (2018). \nhttps:\/\/doi.org\/10.1177\/1729881418755157","journal-title":"International Journal of Advanced Robotic Systems"}],"container-title":["Lecture Notes in Computer Science","Mining Intelligence and Knowledge Exploration"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-05918-7_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,12,17]],"date-time":"2018-12-17T18:48:23Z","timestamp":1545072503000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-05918-7_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030059170","9783030059187"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-05918-7_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"MIKE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Mining Intelligence and Knowledge Exploration","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cluj-Napoca","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Romania","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 December 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mike2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mike.org.in\/2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}