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To address these, this study proposes REMW\u2010YOLO, an efficient model built on YOLO11n that balances performance and computational efficiency. To tackle occlusion, we design the C3k2_RD module, replacing the traditional C3k2 structure. This module integrates RFAConv and DynamicConv to form a complementary \u201clocal enhancement\u2013global adaptation\u201d mechanism, improving detection of occluded pedestrians. We also present the efficient dual\u2010channel fusion feature pyramid network (EDFFPN), a lightweight architecture using dual\u2010channel fusion mechanisms to preserve detailed features while addressing multiscale detection and reducing computational cost. Additionally, we develop the multiscale lightweight decoupled detection head (MSLDH), which enhances feature expression for dense targets without increasing complexity. Finally, we propose the Wise\u2010Inner\u2010MPDIoU loss function to address sample imbalance in dense scenes, resulting in faster convergence and more precise localization. Experiments on the WiderPerson, CrowdHuman, and CityPersons datasets show that REMW\u2010YOLO improves mAP@0.5 by 2.11%, 1.81%, and 2.90%, and mAP@0.5:0.95 by 1.81%, 2.36%, and 2.19%, respectively, over YOLO11n, with overall performance significantly surpassing other methods. Cross\u2010dataset validation confirms the model\u2019s generalization. REMW\u2010YOLO offers a balanced, efficient solution for dense pedestrian detection.<\/jats:p>","DOI":"10.1155\/int\/2375277","type":"journal-article","created":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T10:03:51Z","timestamp":1778148231000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["REMW\u2010YOLO: A Balanced Dense Pedestrian Detection Model With Efficient Feature Extraction and Fusion"],"prefix":"10.1155","volume":"2026","author":[{"given":"Hefeng","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linan","family":"Zu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaona","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8446-1861","authenticated-orcid":false,"given":"Ming Liang","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-5340-9372","authenticated-orcid":false,"given":"Pingping","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2026,5,7]]},"reference":[{"key":"e_1_2_12_1_2","doi-asserted-by":"publisher","DOI":"10.1049\/ipr2.12042"},{"key":"e_1_2_12_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.array.2023.100318"},{"key":"e_1_2_12_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2025.107986"},{"key":"e_1_2_12_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-022-01654-4"},{"key":"e_1_2_12_5_2","doi-asserted-by":"publisher","DOI":"10.3390\/s23094258"},{"key":"e_1_2_12_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3300658"},{"key":"e_1_2_12_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990517"},{"key":"e_1_2_12_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238422"},{"key":"e_1_2_12_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"e_1_2_12_10_2","doi-asserted-by":"publisher","DOI":"10.5244\/C.23.91"},{"key":"e_1_2_12_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"e_1_2_12_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"e_1_2_12_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"e_1_2_12_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"e_1_2_12_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"e_1_2_12_16_2","unstructured":"JocherG. 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