Multi-scale pedestrian detection algorithm based on joint head and overall information
Image Processing|更新时间:2025-06-05
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Multi-scale pedestrian detection algorithm based on joint head and overall information
“In the field of pedestrian detection in dense scenes, researchers have improved the Faster R-CNN algorithm and proposed a multi-scale pedestrian detection algorithm based on joint head and overall information, effectively improving detection accuracy.”
Chinese Journal of Liquid Crystals and DisplaysVol. 40, Issue 6, Pages: 931-941(2025)
作者机构:
1.中国科学院 长春光学精密机械与物理研究所,吉林 长春 130033
2.空军装备部驻某地区军事代表室
作者简介:
基金信息:
National Natural Science Foundation of China(61705219);Project of Youth Innovation Promotion Association of Chinese Academy of Sciences(2022216)
MA Ximing, LI Ning, WU Di, et al. Multi-scale pedestrian detection algorithm based on joint head and overall information[J]. Chinese journal of liquid crystals and displays, 2025, 40(6): 931-941.
DOI:
MA Ximing, LI Ning, WU Di, et al. Multi-scale pedestrian detection algorithm based on joint head and overall information[J]. Chinese journal of liquid crystals and displays, 2025, 40(6): 931-941. DOI: 10.37188/CJLCD.2024-0352. CSTR: 32172.14.CJLCD.2024-0352.
Multi-scale pedestrian detection algorithm based on joint head and overall information