{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T05:23:58Z","timestamp":1769750638910,"version":"3.49.0"},"reference-count":89,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2023,9,24]],"date-time":"2023-09-24T00:00:00Z","timestamp":1695513600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100018571","name":"Guangxi Science and Technology Base and Talent Special Project","doi-asserted-by":"publisher","award":["Guike AD22035127"],"award-info":[{"award-number":["Guike AD22035127"]}],"id":[{"id":"10.13039\/501100018571","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018571","name":"Guangxi Science and Technology Base and Talent Special Project","doi-asserted-by":"publisher","award":["2023KY0264"],"award-info":[{"award-number":["2023KY0264"]}],"id":[{"id":"10.13039\/501100018571","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018571","name":"Guangxi Science and Technology Base and Talent Special Project","doi-asserted-by":"publisher","award":["62262011"],"award-info":[{"award-number":["62262011"]}],"id":[{"id":"10.13039\/501100018571","id-type":"DOI","asserted-by":"publisher"}]},{"name":"2023 Guangxi Province University Young and Middle-aged Teachers\u2019 Research Basic Ability Improvement Project","award":["Guike AD22035127"],"award-info":[{"award-number":["Guike AD22035127"]}]},{"name":"2023 Guangxi Province University Young and Middle-aged Teachers\u2019 Research Basic Ability Improvement Project","award":["2023KY0264"],"award-info":[{"award-number":["2023KY0264"]}]},{"name":"2023 Guangxi Province University Young and Middle-aged Teachers\u2019 Research Basic Ability Improvement Project","award":["62262011"],"award-info":[{"award-number":["62262011"]}]},{"name":"National Natural Science Foundation of China","award":["Guike AD22035127"],"award-info":[{"award-number":["Guike AD22035127"]}]},{"name":"National Natural Science Foundation of China","award":["2023KY0264"],"award-info":[{"award-number":["2023KY0264"]}]},{"name":"National Natural Science Foundation of China","award":["62262011"],"award-info":[{"award-number":["62262011"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Human detection is the task of locating all instances of human beings present in an image, which has a wide range of applications across various fields, including search and rescue, surveillance, and autonomous driving. The rapid advancement of computer vision and deep learning technologies has brought significant improvements in human detection. However, for more advanced applications like healthcare, human\u2013computer interaction, and scene understanding, it is crucial to obtain information beyond just the localization of humans. These applications require a deeper understanding of human behavior and state to enable effective and safe interactions with humans and the environment. This study presents a comprehensive benchmark, the Common Human Postures (CHP) dataset, aimed at promoting a more informative and more encouraging task beyond mere human detection. The benchmark dataset comprises a diverse collection of images, featuring individuals in different environments, clothing, and occlusions, performing a wide range of postures and activities. The benchmark aims to enhance research in this challenging task by designing novel and precise methods specifically for it. The CHP dataset consists of 5250 human images collected from different scenes, annotated with bounding boxes for seven common human poses. Using this well-annotated dataset, we have developed two baseline detectors, namely CHP-YOLOF and CHP-YOLOX, building upon two identity-preserved human posture detectors: IPH-YOLOF and IPH-YOLOX. We evaluate the performance of these baseline detectors through extensive experiments. The results demonstrate that these baseline detectors effectively detect human postures on the CHP dataset. By releasing the CHP dataset, we aim to facilitate further research on human pose estimation and to attract more researchers to focus on this challenging task.<\/jats:p>","DOI":"10.3390\/s23198061","type":"journal-article","created":{"date-parts":[[2023,9,24]],"date-time":"2023-09-24T10:48:31Z","timestamp":1695552511000},"page":"8061","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Beyond Human Detection: A Benchmark for Detecting Common Human Posture"],"prefix":"10.3390","volume":"23","author":[{"given":"Yongxin","family":"Li","sequence":"first","affiliation":[{"name":"Guangxi Key Laboratory of Embedded Technology and Intelligent Information Processing, College of Information Science and Engineering, Guilin University of Technology, Guilin 541006, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4230-899X","authenticated-orcid":false,"given":"You","family":"Wu","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Embedded Technology and Intelligent Information Processing, College of Information Science and Engineering, Guilin University of Technology, Guilin 541006, China"}]},{"given":"Xiaoting","family":"Chen","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Embedded Technology and Intelligent Information Processing, College of Information Science and Engineering, Guilin University of Technology, Guilin 541006, China"}]},{"given":"Han","family":"Chen","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Embedded Technology and Intelligent Information Processing, College of Information Science and Engineering, Guilin University of Technology, Guilin 541006, China"}]},{"given":"Depeng","family":"Kong","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Embedded Technology and Intelligent Information Processing, College of Information Science and Engineering, Guilin University of Technology, Guilin 541006, China"}]},{"given":"Haihua","family":"Tang","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Embedded Technology and Intelligent Information Processing, College of Information Science and Engineering, Guilin University of Technology, Guilin 541006, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4587-513X","authenticated-orcid":false,"given":"Shuiwang","family":"Li","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Embedded Technology and Intelligent Information Processing, College of Information Science and Engineering, Guilin University of Technology, Guilin 541006, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/MAES.2020.3021322","article-title":"High Precision Human Detection and Tracking Using Millimeter-Wave Radars","volume":"36","author":"Cui","year":"2020","journal-title":"IEEE Aerosp. 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