{"acknowledgement":"This work has been partially supported by the Austrian Science Fund under grants S9103-N13 and P18716-N13.","year":"2011","intvolume":"      6658","volume":6658,"_id":"10907","editor":[{"first_name":"Xiaoyi","last_name":"Jiang","full_name":"Jiang, Xiaoyi"},{"full_name":"Ferrer, Miquel","first_name":"Miquel","last_name":"Ferrer"},{"full_name":"Torsello, Andrea","last_name":"Torsello","first_name":"Andrea"}],"language":[{"iso":"eng"}],"conference":{"name":"GbRPR: Graph-based Representations in Pattern Recognition","start_date":"2011-05-18","location":"Münster, Germany","end_date":"2011-05-20"},"citation":{"ieee":"N. M. Artner, A. Ion, and W. G. Kropatsch, “Spatio-temporal extraction of articulated models in a graph pyramid,” in <i>Graph-Based Representations in Pattern Recognition</i>, Münster, Germany, 2011, vol. 6658, pp. 215–224.","mla":"Artner, Nicole M., et al. “Spatio-Temporal Extraction of Articulated Models in a Graph Pyramid.” <i>Graph-Based Representations in Pattern Recognition</i>, edited by Xiaoyi Jiang et al., vol. 6658, Springer, 2011, pp. 215–24, doi:<a href=\"https://doi.org/10.1007/978-3-642-20844-7_22\">10.1007/978-3-642-20844-7_22</a>.","short":"N.M. Artner, A. Ion, W.G. Kropatsch, in:, X. Jiang, M. Ferrer, A. Torsello (Eds.), Graph-Based Representations in Pattern Recognition, Springer, Berlin, Heidelberg, 2011, pp. 215–224.","ama":"Artner NM, Ion A, Kropatsch WG. Spatio-temporal extraction of articulated models in a graph pyramid. In: Jiang X, Ferrer M, Torsello A, eds. <i>Graph-Based Representations in Pattern Recognition</i>. Vol 6658. LNIP. Berlin, Heidelberg: Springer; 2011:215-224. doi:<a href=\"https://doi.org/10.1007/978-3-642-20844-7_22\">10.1007/978-3-642-20844-7_22</a>","ista":"Artner NM, Ion A, Kropatsch WG. 2011. Spatio-temporal extraction of articulated models in a graph pyramid. Graph-Based Representations in Pattern Recognition. GbRPR: Graph-based Representations in Pattern RecognitionLNIP, LNCS, vol. 6658, 215–224.","chicago":"Artner, Nicole M., Adrian Ion, and Walter G. Kropatsch. “Spatio-Temporal Extraction of Articulated Models in a Graph Pyramid.” In <i>Graph-Based Representations in Pattern Recognition</i>, edited by Xiaoyi Jiang, Miquel Ferrer, and Andrea Torsello, 6658:215–24. LNIP. Berlin, Heidelberg: Springer, 2011. <a href=\"https://doi.org/10.1007/978-3-642-20844-7_22\">https://doi.org/10.1007/978-3-642-20844-7_22</a>.","apa":"Artner, N. M., Ion, A., &#38; Kropatsch, W. G. (2011). Spatio-temporal extraction of articulated models in a graph pyramid. In X. Jiang, M. Ferrer, &#38; A. Torsello (Eds.), <i>Graph-Based Representations in Pattern Recognition</i> (Vol. 6658, pp. 215–224). Berlin, Heidelberg: Springer. <a href=\"https://doi.org/10.1007/978-3-642-20844-7_22\">https://doi.org/10.1007/978-3-642-20844-7_22</a>"},"publication_identifier":{"isbn":["9783642208430"],"eissn":["1611-3349"],"eisbn":["9783642208447"],"issn":["0302-9743"]},"publication":"Graph-Based Representations in Pattern Recognition","author":[{"full_name":"Artner, Nicole M.","last_name":"Artner","first_name":"Nicole M."},{"id":"29F89302-F248-11E8-B48F-1D18A9856A87","full_name":"Ion, Adrian","first_name":"Adrian","last_name":"Ion"},{"full_name":"Kropatsch, Walter G.","first_name":"Walter G.","last_name":"Kropatsch"}],"page":"215-224","doi":"10.1007/978-3-642-20844-7_22","place":"Berlin, Heidelberg","alternative_title":["LNCS"],"quality_controlled":"1","title":"Spatio-temporal extraction of articulated models in a graph pyramid","status":"public","publisher":"Springer","scopus_import":"1","oa_version":"None","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","date_created":"2022-03-21T08:08:35Z","series_title":"LNIP","department":[{"_id":"HeEd"}],"abstract":[{"text":"This paper presents a method to create a model of an articulated object using the planar motion in an initialization video. The model consists of rigid parts connected by points of articulation. The rigid parts are described by the positions of salient feature-points tracked throughout the video. Following a filtering step that identifies points that belong to different objects, rigid parts are found by a grouping process in a graph pyramid. Valid articulation points are selected by verifying multiple hypotheses for each pair of parts.","lang":"eng"}],"publication_status":"published","date_published":"2011-06-01T00:00:00Z","article_processing_charge":"No","month":"06","date_updated":"2023-09-05T14:10:15Z","type":"conference","day":"01"}