{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/object-detection-with-pixel-intensity","title":"Object Detection with Pixel Intensity Comparisons Organized in Decision Trees","arxiv_id":"1305.4537","date":"2013-05-20","proceeding":null,"authors":["Nenad Markuš","Miroslav Frljak","Igor S. Pandžić","Jörgen Ahlberg","Robert Forchheimer"],"abstract":"We describe a method for visual object detection based on an ensemble of\noptimized decision trees organized in a cascade of rejectors. The trees use\npixel intensity comparisons in their internal nodes and this makes them able to\nprocess image regions very fast. Experimental analysis is provided through a\nface detection problem. The obtained results are encouraging and demonstrate\nthat the method has practical value. Additionally, we analyse its sensitivity\nto noise and show how to perform fast rotation invariant object detection.\nComplete source code is provided at https://github.com/nenadmarkus/pico.","url_abs":"http://arxiv.org/abs/1305.4537v5","url_pdf":"http://arxiv.org/pdf/1305.4537v5.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"object-detection-with-pixel-intensity","repo_url":"https://github.com/nenadmarkus/pico","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"object-detection-with-pixel-intensity","repo_url":"https://github.com/Suaro/pidroid","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"object-detection-with-pixel-intensity","repo_url":"https://github.com/TotoHugo/facedetection-lite-Outsystems","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"object-detection-with-pixel-intensity","repo_url":"https://github.com/esimov/pigo","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"object-detection-with-pixel-intensity","repo_url":"https://github.com/hggym/pigo","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"object-detection-with-pixel-intensity","repo_url":"https://github.com/lidio601/node-facedetect-supyo","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"object-detection-with-pixel-intensity","repo_url":"https://github.com/liulaomo/go-ai-related","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"object-detection-with-pixel-intensity","repo_url":"https://github.com/magicsunday/pico","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"face-detection","task_name":"Face Detection"},{"task_slug":"object","task_name":"Object"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"pico","task_name":"PICO"},{"task_slug":"sensitivity","task_name":"Sensitivity"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}