{"id":2,"date":"2024-09-17T17:09:03","date_gmt":"2024-09-17T17:09:03","guid":{"rendered":"http:\/\/wp.isr.tecnico.ulisboa.pt\/pliniomoreno\/?page_id=2"},"modified":"2025-05-30T13:20:43","modified_gmt":"2025-05-30T13:20:43","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/wp.isr.tecnico.ulisboa.pt\/pliniomoreno\/sample-page\/","title":{"rendered":"Software and Datasets"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\" style=\"padding-top:var(--wp--preset--spacing--40);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40);padding-left:var(--wp--preset--spacing--40)\">Software<\/h2>\n\n\n\n<ul style=\"margin-top:var(--wp--preset--spacing--30);margin-right:var(--wp--preset--spacing--30);margin-bottom:var(--wp--preset--spacing--30);margin-left:var(--wp--preset--spacing--30);padding-top:var(--wp--preset--spacing--40);padding-right:var(--wp--preset--spacing--60);padding-bottom:var(--wp--preset--spacing--40);padding-left:var(--wp--preset--spacing--60)\" class=\"wp-block-list\">\n<li>Github account manager of <a href=\"https:\/\/github.com\/vislab-tecnico-lisboa\">vislab-tecnico-lisboa<\/a><\/li>\n\n\n\n<li>plinioMoreno github <a href=\"https:\/\/github.com\/plinioMoreno\">repositories and profile<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/web.tecnico.ulisboa.pt\/ist31838\/code\/semiboost.zip\">Matlab<\/a> implementation of the <a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/4633363\">semiboost<\/a> algorithm<\/li>\n\n\n\n<li><a href=\"http:\/\/web.tecnico.ulisboa.pt\/ist31838\/code\/UAL2boost.zip\">Matlab<\/a> implementation of <a href=\"http:\/\/www.jstor.org\/stable\/30045243\">L2Boost<\/a> and <a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/5708966\">L2Boost for features with temporal support<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/web.tecnico.ulisboa.pt\/ist31838\/code\/binaryClassifier.zip\">Matlab<\/a> implementation of <a href=\"https:\/\/digital-library.theiet.org\/doi\/10.1049\/iet-cvi.2011.0158\">Temporal consistent decision stumps in GentleBoost<\/a>, binary problems<\/li>\n\n\n\n<li><a href=\"http:\/\/web.tecnico.ulisboa.pt\/ist31838\/code\/multiclassJointClassifier.zip\">Matlab<\/a> implementation of <a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-540-76858-6_46\">Joint Temporal consistent decision stumps in GentleBoost<\/a>, multi-class problems<\/li>\n\n\n\n<li><a href=\"https:\/\/sourceforge.net\/p\/robotcub\/code\/HEAD\/tree\/trunk\/iCub\/main\/src\/libraries\/iCubVis\/faceEyeDetector\/\">Face and eye detector library<\/a> for the humanoid robot <a href=\"https:\/\/icub.iit.it\/\">iCub<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/web.tecnico.ulisboa.pt\/ist31838\/code\/wavingDetector.zip\">C++<\/a> implementation of <a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-642-02611-9_87\">waving detection<\/a><\/li>\n\n\n\n<li><a href=\"http:\/\/web.tecnico.ulisboa.pt\/ist31838\/code\/robotPersonWaving.zip\">C++<\/a> implementation of <a href=\"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/s0218001415500214\">people vs. robot detection<\/a><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"padding-top:var(--wp--preset--spacing--40);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40);padding-left:var(--wp--preset--spacing--40)\">Datasets<\/h2>\n\n\n\n<ul style=\"padding-top:var(--wp--preset--spacing--40);padding-right:var(--wp--preset--spacing--60);padding-bottom:var(--wp--preset--spacing--40);padding-left:var(--wp--preset--spacing--60)\" class=\"wp-block-list\">\n<li><a href=\"http:\/\/web.tecnico.ulisboa.pt\/ist31838\/data\/FirstMM_object_data.tgz\">3D object point clouds with semantic part labeling<\/a> (developed in the <a href=\"https:\/\/cordis.europa.eu\/project\/id\/248258\">First-MM<\/a> project)<\/li>\n\n\n\n<li>People walking and robot moving in a multiple camera indoors scenario (available under request)<\/li>\n\n\n\n<li><a href=\"https:\/\/www.wisdom.weizmann.ac.il\/~vision\/SpaceTimeActions.html\">Weizmann<\/a> dataset extension, with two complexity levels: (i) <a href=\"http:\/\/web.tecnico.ulisboa.pt\/ist31838\/data\/IST1videos.zip\">More complex background<\/a> and (ii) <a href=\"http:\/\/web.tecnico.ulisboa.pt\/ist31838\/data\/IST2videos.zip\">Dynamic background changes<\/a>. These two datasets were applied in the <a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/5708966\">unsupervised adaptation of L2Boost<\/a>.<\/li>\n\n\n\n<li>More datasets can be found at the Computer and Robot Vision <a href=\"https:\/\/vislab.isr.tecnico.ulisboa.pt\/datasets_and_resources\/\">datasets page<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Software Datasets<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"fullwidth","meta":{"footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wp.isr.tecnico.ulisboa.pt\/pliniomoreno\/wp-json\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.isr.tecnico.ulisboa.pt\/pliniomoreno\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.isr.tecnico.ulisboa.pt\/pliniomoreno\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.isr.tecnico.ulisboa.pt\/pliniomoreno\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.isr.tecnico.ulisboa.pt\/pliniomoreno\/wp-json\/wp\/v2\/comments?post=2"}],"version-history":[{"count":10,"href":"https:\/\/wp.isr.tecnico.ulisboa.pt\/pliniomoreno\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":181,"href":"https:\/\/wp.isr.tecnico.ulisboa.pt\/pliniomoreno\/wp-json\/wp\/v2\/pages\/2\/revisions\/181"}],"wp:attachment":[{"href":"https:\/\/wp.isr.tecnico.ulisboa.pt\/pliniomoreno\/wp-json\/wp\/v2\/media?parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}