Citation: | ZHANG Yixiang, LIN Song, LI Xue. Personnel detection in dangerous area of coal preparation plant based on CenterNet-GhostNet[J]. Journal of Mine Automation,2022,48(4):66-71. doi: 10.13272/j.issn.1671-251x.2021080058 |
[1] |
张宗华. 选煤厂人员智能视频监控系统设计[J]. 工矿自动化,2013,39(4):76-79. doi: 10.7526/j.issn.1671-251X.2013.04.020
ZHANG Zonghua. Design of intelligent video monitoring system of personnel of coal preparation plant[J]. Industry and Mine Automation,2013,39(4):76-79. doi: 10.7526/j.issn.1671-251X.2013.04.020
|
[2] |
张圣强,王建军,丁蕾. 选煤厂智能视频监控中的运动人体目标检测方法[J]. 工矿自动化,2011,37(11):60-62.
ZHANG Shengqiang,WANG Jianjun,DING Lei. Detecting method of moving human in intelligent video monitoring of coal preparation plant[J]. Industry and Mine Automation,2011,37(11):60-62.
|
[3] |
陈海龙. 煤矿选煤厂巡检机器人的研究与设计[D]. 徐州: 中国矿业大学, 2014.
CHEN Hailong. The study and design of coal cleaning plant inspection robot[D]. Xuzhou: China University of Mining and Technology, 2014.
|
[4] |
林娅静. 基于视觉的选煤厂智能监控系统研究[D]. 徐州: 中国矿业大学, 2014.
LIN Yajing. Research on intelligent monitoring system of coal preparation plant based on vision[D]. Xuzhou: China University of Mining and Technology, 2014.
|
[5] |
周晨晖. 基于深度学习的煤矿复杂场景人员检测与统计分析方法研究[D]. 徐州: 中国矿业大学, 2019.
ZHOU Chenhui. Research on personnel detection and statistical analysis in coal mine complex scenes based on deep learning[D]. Xuzhou: China University of Mining and Technology, 2019.
|
[6] |
ZHOU Xingyi, WANG Dequan, KRAHENBUHL P. Objects as points[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, 2019: 7263-7271.
|
[7] |
HAN K, WANG Yunhe, TIAN Qi, et al. GhostNet: more features from cheap operations[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Seattle, 2016: 1577-1586.
|
[8] |
LIN T Y, DOLLAR P, GIRSHICK R, et al. Feature pyramid networks for object detection[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, 2017: 2117-2125.
|
[9] |
HOWARD A G, ZHU Menglong, CHEN Bo, et al. MobileNets: efficient convolutional neural networks for mobile vision applications[EB/OL]. [2021-08-02]. https://arxiv.org/abs/1704.04861.
|
[10] |
DAI Jifeng, QI Haozhi, XIONG Yuwen, et al. Deformable convolutional networks[C]//IEEE International Conference on Computer Vision, Venice, 2017: 764-773.
|
[11] |
XU Yuanyuan,YAN Wan,YANG Genke,et al. CenterFace:joint face detection and alignment using face as point[J]. Scientific Programming,2020,2020:1-8.
|
[12] |
LIN T Y,GOYAL P,GIRSHICK R,et al. Focal loss for dense object detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2020,42(2):318-327. doi: 10.1109/TPAMI.2018.2858826
|
[13] |
BOCHKOVSKIY A, WANG C Y, LIAO H Y M. YOLOv4: optimal speed and accuracy of object detection[EB/OL]. [2021-08-02]. https://arxiv.org/abs/2004.10934.
|
[14] |
EVERINGHAM M,GOOL L V,WILLIAMS C K I,et al. The PASCAL visual object classes( VOC) challenge[J]. International Journal of Computer Vision,2010,88(2):303-338. doi: 10.1007/s11263-009-0275-4
|