Title:
UNDERGROUND COAL MINE PEDESTRIAN DETECTION METHOD BASED ON IMAGE FUSION AND FEATURE ENHANCEMENT
Document Type and Number:
WIPO Patent Application WO/2024/037408
Kind Code:
A1
Abstract:
Disclosed in the present invention is an underground coal mine pedestrian detection method based on image fusion and feature enhancement. The method comprises the following steps: step 1, performing fusion processing of a depth image and an infrared image; step 2, constructing a CornerNet-Squeeze pedestrian target detection network with enhanced target edge features; step 3, establishing an underground infrared-depth-image-fused pedestrian detection data set, and training a CornerNet-Squeeze pedestrian target detection model with enhanced target edge features; and step 4, an intrinsic-safety-type edge computing device deploying the CornerNet-Squeeze pedestrian detection model with enhanced target edge features, and verifying an effect in a test set. The underground coal mine pedestrian detection method based on image fusion and target edge feature enhancement can be used for improving the detection capability of multi-scale pedestrian targets in a complex underground low-illumination environment.
Inventors:
ZOU SHENG (CN)
ZHOU LIBING (CN)
CHEN XIAOJING (CN)
JI LIANG (CN)
YE BAISONG (CN)
HAO DABIN (CN)
QIU YUNXIANG (CN)
YU ZHENGQIAN (CN)
JIANG XUELI (CN)
WANG TIANYU (CN)
HUANG XIAOMING (CN)
ZHANG QING (CN)
ZHOU LIBING (CN)
CHEN XIAOJING (CN)
JI LIANG (CN)
YE BAISONG (CN)
HAO DABIN (CN)
QIU YUNXIANG (CN)
YU ZHENGQIAN (CN)
JIANG XUELI (CN)
WANG TIANYU (CN)
HUANG XIAOMING (CN)
ZHANG QING (CN)
Application Number:
PCT/CN2023/112201
Publication Date:
February 22, 2024
Filing Date:
August 10, 2023
Export Citation:
Assignee:
TIANDI CHANGZHOU AUTOMATION CO (CN)
CCTEG CHANGZHOU RES INSTITUTE (CN)
CCTEG CHANGZHOU RES INSTITUTE (CN)
International Classes:
G06T7/00; G06N3/08; G06T5/50; G06V10/44
Foreign References:
| CN115311241A | 2022-11-08 | |||
| CN111582080A | 2020-08-25 | |||
| CN111814595A | 2020-10-23 | |||
| CN112364883A | 2021-02-12 | |||
| CN114359838A | 2022-04-15 | |||
| EP3838427A1 | 2021-06-23 |
Other References:
LI XUE-MENG, YANG DA-WEI, MAO LIN: "Object Edge Feature Enhancement Detection Algorithm", JOURNAL OF DALIAN MINZU UNIVERSITY., vol. 22, no. 1, 1 January 2020 (2020-01-01), pages 47 - 50, XP093140274, DOI: 10.13744/j.cnki.cn21-1431/g4.2020.01.010
Attorney, Agent or Firm:
NANJING IPZHI INTELLECTUAL PROPERTYAGENCY CO..LTD (CN)
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