{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T23:29:14Z","timestamp":1693351754920},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2018,3,7]],"date-time":"2018-03-07T00:00:00Z","timestamp":1520380800000},"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":["Int J Multimed Info Retr"],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1007\/s13735-018-0152-4","type":"journal-article","created":{"date-parts":[[2018,3,7]],"date-time":"2018-03-07T12:12:52Z","timestamp":1520424772000},"page":"197-205","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Three-dimensional spatio-temporal trajectory descriptor for human action recognition"],"prefix":"10.1007","volume":"7","author":[{"given":"Sidharth B.","family":"Bhorge","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ramachandra R.","family":"Manthalkar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,3,7]]},"reference":[{"issue":"3","key":"152_CR1","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1109\/JSEN.2010.2050309","volume":"11","author":"P Turga","year":"2011","unstructured":"Turga P, Ivanov Y (2011) Diamond sentry: integrating sensors and camera for real time monitoring of indoor spaces. IEEE Sensor J 11(3):593","journal-title":"IEEE Sensor J"},{"issue":"2","key":"152_CR2","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1109\/TPAMI.2008.284","volume":"32","author":"S Ali","year":"2010","unstructured":"Ali S, Shah M (2010) Human Action recognition in videos using kinematic features and multiple instance learning. IEEE Trans Pattern Anal Mach Intel 32(2):288","journal-title":"IEEE Trans Pattern Anal Mach Intel"},{"issue":"11","key":"152_CR3","doi-asserted-by":"publisher","first-page":"1489","DOI":"10.1109\/TCSVT.2008.2005612","volume":"18","author":"Z Zhou","year":"2008","unstructured":"Zhou Z, Chen X, Chung CY, He Z, Han XT, Keller JM (2008) Activity analysis, summarization, and visualization for indoor human activity monitoring. IEEE Trans Circuit Syst Video Tech 18(11):1489\u20131498","journal-title":"IEEE Trans Circuit Syst Video Tech"},{"issue":"1","key":"152_CR4","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1109\/TSMCA.2004.838474","volume":"35","author":"T Barger","year":"2005","unstructured":"Barger T, Brown D, Alwan M (2005) Health status monitoring through analysis of behavioral patterns. IEEE Trans Syst Man Cybern 35(1):22","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"8","key":"152_CR5","doi-asserted-by":"publisher","first-page":"1128","DOI":"10.1109\/TCSVT.2008.927111","volume":"8","author":"W Lin","year":"2008","unstructured":"Lin W, Sun M, Poovendran R, Zang Z (2008) Activity Recognition using a combination of category component and local models for video surveillance. IEEE Trans Circuit Syst Video Technol 8(8):1128","journal-title":"IEEE Trans Circuit Syst Video Technol"},{"key":"152_CR6","unstructured":"Dollar P, Rabaud V, Cottrel G (2005) Behavior recognition via sparse spatio-temporal features. IEEE international workshop on VS-PETS"},{"key":"152_CR7","doi-asserted-by":"publisher","first-page":"962","DOI":"10.1016\/j.neucom.2010.11.013","volume":"74","author":"L Shao","year":"2011","unstructured":"Shao L, Gao R, Lui Y, Zhang H (2011) Transform based spatio-temporal descriptor for human action recognition. Neurocomputing 74:962\u2013973","journal-title":"Neurocomputing"},{"key":"152_CR8","doi-asserted-by":"publisher","first-page":"1515","DOI":"10.1016\/j.imavis.2009.02.002","volume":"27","author":"N Ikizler","year":"2009","unstructured":"Ikizler N, Duygulu P (2009) Histogram of oriented rectangles: a new pose descriptor for human action recognition. Image Vis Comput 27:1515\u20131526","journal-title":"Image Vis Comput"},{"key":"152_CR9","doi-asserted-by":"crossref","unstructured":"Banerjee P, Nevatia R (2011) Learning neighborhood co-occurrence statistics of sparse features for human activity recognition. In: IEEE international conference on advanced video and signal based surveillance","DOI":"10.1109\/AVSS.2011.6027324"},{"key":"152_CR10","unstructured":"Zhang Y, Liu X, Chang MC, Ge W, Chen T (2012) Spatiotemporal phrases for activity recognition. In: Proceedings of European conference on computer vision (ECCV), pp 707\u2013721"},{"key":"152_CR11","doi-asserted-by":"publisher","first-page":"1793","DOI":"10.1007\/s00138-014-0639-9","volume":"25","author":"N Li","year":"2014","unstructured":"Li N, Cheng X, Zhang S, Wu Z (2014) Realistic human action recognition by Fast HOG3D and self-organization feature map. Mach Vis Appl 25:1793\u20131812","journal-title":"Mach Vis Appl"},{"issue":"2","key":"152_CR12","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s11263-005-1838-7","volume":"64","author":"I Laptev","year":"2005","unstructured":"Laptev I (2005) On space\u2013time interest points. Int J Comput Vis 64(2):107\u201323","journal-title":"Int J Comput Vis"},{"issue":"1","key":"152_CR13","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1007\/s11263-012-0594-8","volume":"103","author":"H Wang","year":"2013","unstructured":"Wang H, Kl\u00e4ser A, Schmid C, Liu C-L (2013) Dense trajectories and motion boundary descriptors for action recognition. Int J Comput Vis 103(1):60\u201379","journal-title":"Int J Comput Vis"},{"issue":"6","key":"152_CR14","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1007\/s00138-016-0746-x","volume":"27","author":"X Wang","year":"2016","unstructured":"Wang X, Qi C (2016) Action recognition using edge trajectories and motion acceleration descriptor. Mach Vis Appl 27(6):861\u201385","journal-title":"Mach Vis Appl"},{"key":"152_CR15","doi-asserted-by":"crossref","unstructured":"Scovanner P, Ali S, Shah M (2007) A 3-dimensional sift descriptor and its application to action recognition. In: 15th international conference on multimedia, pp 357\u2013360","DOI":"10.1145\/1291233.1291311"},{"key":"152_CR16","unstructured":"Kl A, Schmid C, Grenoble I (2008) A spatio-temporal descriptor based on 3D-gradients. In: British Machine Vision conference"},{"key":"152_CR17","doi-asserted-by":"crossref","unstructured":"Willems G, Tuytelaars T, Van Gool L (2008) An efficient dense and scale-invariant spatio-temporal interest point detector. Computer vision\u2014ECCV","DOI":"10.1007\/978-3-540-88688-4_48"},{"key":"152_CR18","doi-asserted-by":"crossref","unstructured":"Bhorge S, Manthalkar R (2017) Histogram of directional derivative based spatio-temporal descriptor for human action recognition. In : IEEE international conference on data management, analytics and innovation","DOI":"10.1109\/ICDMAI.2017.8073483"},{"key":"152_CR19","unstructured":"Messing R, Pal C, Kautz H (2009) Activity recognition using the velocity histories of tracked key points. In: Proceedings of the IEEE international conference on computer vision, pp 104\u2013111"},{"key":"152_CR20","first-page":"674","volume":"130","author":"BD Lucas","year":"1981","unstructured":"Lucas BD, Kanade T (1981) An iterative image registration technique with an application to stereo vision. Imaging 130:674\u20139","journal-title":"Imaging"},{"key":"152_CR21","doi-asserted-by":"crossref","unstructured":"Matikainen P, Hebert M, Sukthankar R (2009) Trajectons: action recognition through the motion analysis of tracked features. In: IEEE 12th international conference on computer vision workshops. ICCV Workshops, pp 514\u2013521","DOI":"10.1109\/ICCVW.2009.5457659"},{"key":"152_CR22","doi-asserted-by":"crossref","unstructured":"Sun J, Mu Y, Yan S, Cheong LF (2010) Activity recognition using dense long-duration trajectories. In: The IEEE international conference on multimedia & expo (ICME)","DOI":"10.1109\/ICME.2010.5583046"},{"key":"152_CR23","doi-asserted-by":"crossref","unstructured":"Raptis M, Soatto S (2010) Tracklet descriptors for action modeling and video analysis. In: Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics) 6311 LNCS: (PART 1), pp 577\u2013590","DOI":"10.1007\/978-3-642-15549-9_42"},{"key":"152_CR24","doi-asserted-by":"crossref","unstructured":"Bregonzio M, Li J, Gong S, Xiang T (2010) Discriminative topics modelling for action feature selection and recognition. In: Proceedings of British machine vision conference, pp 8.1\u20138.11","DOI":"10.5244\/C.24.8"},{"key":"152_CR25","doi-asserted-by":"crossref","unstructured":"Vig E, Dorr M, Cox D (2012) Space-variant descriptor sampling for action recognition based on saliency and eye movements. In: Proceedings of European conference on computer vision (ECCV), pp 84\u201397","DOI":"10.1007\/978-3-642-33786-4_7"},{"key":"152_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cviu.2014.01.002","volume":"123","author":"G Somasundaram","year":"2014","unstructured":"Somasundaram G, Cherian A, Morellas V, Papanikolopoulos N (2014) Action recognition using global spatio-temporal features derived from sparse representations. Comput Vis Image Underst 123:1\u201313","journal-title":"Comput Vis Image Underst"},{"issue":"9","key":"152_CR27","doi-asserted-by":"publisher","first-page":"616","DOI":"10.1016\/j.imavis.2014.06.011","volume":"32","author":"X Peng","year":"2014","unstructured":"Peng X, Qiao Y, Peng Q (2014) Motion boundary based sampling and 3D co-occurrence descriptors for action recognition. Image Vis Comput 32(9):616\u2013628","journal-title":"Image Vis Comput"},{"key":"152_CR28","doi-asserted-by":"crossref","unstructured":"Murthy OR, Goecke R (2013) Ordered trajectories for large scale human action recognition. In: Proceedings of IEEE international conference on computer vision workshops (ICCVW), pp 412\u2013 419","DOI":"10.1109\/ICCVW.2013.61"},{"key":"152_CR29","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.image.2017.05.007","volume":"57","author":"X Wang","year":"2017","unstructured":"Wang X, Qi C, Lin F (2017) Combined trajectories for action recognition based on saliency detection and motion boundary. Sig Process Image Commun 57:91\u2013102","journal-title":"Sig Process Image Commun"},{"key":"152_CR30","doi-asserted-by":"crossref","unstructured":"Alghyaline S, Hsieh JW, Chiang HF, Lin RY (2016) Action classification using data mining and Paris of SURF-based trajectories. In: IEEE international conference on systems, man, and cybernetics (SMC), Budapest, pp 2163\u20132168","DOI":"10.1109\/SMC.2016.7844559"},{"issue":"4","key":"152_CR31","doi-asserted-by":"publisher","first-page":"426","DOI":"10.1109\/LSP.2014.2361901","volume":"22","author":"Y Song","year":"2015","unstructured":"Song Y, Liu S, Tang J (2015) Describing trajectory of surface patch for Human Action Recognition on RGB and depth videos. IEEE Signal Process Lett 22(4):426\u2013429","journal-title":"IEEE Signal Process Lett"},{"issue":"2","key":"152_CR32","doi-asserted-by":"publisher","first-page":"811","DOI":"10.1109\/LRA.2017.2652494","volume":"2","author":"P Falco","year":"2017","unstructured":"Falco P, Saveriano M, Hasany EG, Kirk NH, Lee D (2017) A human action descriptor based on motion coordination. Robot Autom Lett 2(2):811\u2013818","journal-title":"Robot Autom Lett"},{"issue":"1","key":"152_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TPAMI.2015.2439257","volume":"38","author":"B Amor","year":"2016","unstructured":"Amor B, Su J, Srivastava A (2016) Action recognition using rate-invariant analysis of skeletal shape trajectories. Trans Pattern Anal Mach Intel 38(1):1\u201313","journal-title":"Trans Pattern Anal Mach Intel"},{"key":"152_CR34","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.imavis.2016.06.002","volume":"58","author":"J-J Seo","year":"2017","unstructured":"Seo J-J, Kim H-Il, De Neve W, Ro Y (2017) Effective and efficient human action recognition using dynamic frame skipping and trajectory rejection. Image Vis Comput 58:76\u201385","journal-title":"Image Vis Comput"},{"key":"152_CR35","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.neucom.2016.07.058","volume":"228","author":"Y Wang","year":"2017","unstructured":"Wang Y, Shi Y, Wei G (2017) A novel local feature descriptor based on energy information for human activity recognition. Neurocomputing 228:19\u201328","journal-title":"Neurocomputing"},{"key":"152_CR36","doi-asserted-by":"crossref","unstructured":"Harris C, Stephens M (1988) A combined corner and edge detector. In: Proceedings of Alvey vision conference, pp 189\u2013192","DOI":"10.5244\/C.2.23"},{"key":"152_CR37","unstructured":"Chang CC, Lin CJ (2001) LIBSVM: a library for support vector machines. Software available at: http:\/\/www.csie.ntu.edu.tw\/~cjlin"},{"key":"152_CR38","doi-asserted-by":"crossref","unstructured":"Schuldt C, Laptev I, Caputo B (2004) Recognizing human actions: a local SVM approach. In: International conference on pattern recognition","DOI":"10.1109\/ICPR.2004.1334462"},{"issue":"12","key":"152_CR39","doi-asserted-by":"publisher","first-page":"2247","DOI":"10.1109\/TPAMI.2007.70711","volume":"29","author":"L Gorelick","year":"2007","unstructured":"Gorelick L, Blank M, Shechtman E, Irani M, Basri R (2007) Actions as space\u2013time shapes. IEEE Trans Pattern Anal Mach Intell 29(12):2247\u20132253","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"152_CR40","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1016\/j.eij.2015.05.002","volume":"16","author":"HA Abdul-Azim","year":"2015","unstructured":"Abdul-Azim HA, Hemayed E (2015) Human action recognition using trajectory-based representation. Egypt Inform J 16:187\u2013198","journal-title":"Egypt Inform J"},{"issue":"6","key":"152_CR41","doi-asserted-by":"publisher","first-page":"817","DOI":"10.3233\/AIS-150347","volume":"7","author":"K Avgerinakis","year":"2015","unstructured":"Avgerinakis K, Briassouli A, Loannis K (2015) Activities of daily living recognition using optimal trajectories from motion boundaries. J Ambient Intell Smart Environ 7(6):817\u2013834","journal-title":"J Ambient Intell Smart Environ"},{"issue":"7","key":"152_CR42","doi-asserted-by":"publisher","first-page":"1510","DOI":"10.1109\/TMM.2017.2666540","volume":"19","author":"Y Shi","year":"2017","unstructured":"Shi Y, Tian Y, Wang Y, Huang T (2017) Sequential deep trajectory descriptor for action recognition with three-stream CNN. IEEE Trans Multim 19(7):1510\u20131520","journal-title":"IEEE Trans Multim"},{"key":"152_CR43","doi-asserted-by":"publisher","unstructured":"Vishwakarma DK, Singh K (2016) Human activity recognition based on spatial distribution of gradients at sub-levels of average energy silhouette images. IEEE Trans Cogn Dev Syst. https:\/\/doi.org\/10.1109\/TCDS.2016.2577044","DOI":"10.1109\/TCDS.2016.2577044"}],"container-title":["International Journal of Multimedia Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13735-018-0152-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13735-018-0152-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13735-018-0152-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,12]],"date-time":"2019-10-12T10:00:38Z","timestamp":1570874438000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13735-018-0152-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,7]]},"references-count":43,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2018,9]]}},"alternative-id":["152"],"URL":"https:\/\/doi.org\/10.1007\/s13735-018-0152-4","relation":{},"ISSN":["2192-6611","2192-662X"],"issn-type":[{"value":"2192-6611","type":"print"},{"value":"2192-662X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,3,7]]},"assertion":[{"value":"20 November 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 February 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 February 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 March 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}