An Automatic Counting Algorithm for Topographic Maps Based on Videos for Map Management
Topographic maps comprise a rich data source for the processing and analysis of geographic information. However, the management of paper topographic maps is still dominated by an inefficient manual method, and there is no counting equipment for topographic maps that is suitable for narrow map wareho...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/3/1461 |
| _version_ | 1827760512999358464 |
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| author | Wen Cao Yuzhen Tian Xiaochong Tong Weiming Yang Congzhou Guo Jingwen Zhu He Li Dali Wang |
| author_facet | Wen Cao Yuzhen Tian Xiaochong Tong Weiming Yang Congzhou Guo Jingwen Zhu He Li Dali Wang |
| author_sort | Wen Cao |
| collection | DOAJ |
| description | Topographic maps comprise a rich data source for the processing and analysis of geographic information. However, the management of paper topographic maps is still dominated by an inefficient manual method, and there is no counting equipment for topographic maps that is suitable for narrow map warehouse passages. The existing algorithms relating to paper counting require paper hardness and cannot directly obtain the internal information of topographic maps. To address the above problems, using a map inventory machine transformed from a paddle-type paper counting machine to perform a preliminary count and obtain the video data of the counting progress, an automatic counting algorithm for topographic maps for map management is proposed in this study. First, the periodic feature changes of all the targets and each individual target in the videos are analyzed. Second, a deformable parts model accelerated by fast feature pyramids and by reducing the region of interest is used for the object detection of mechanical wheels. The grayscale variance function is selected to quantify the quality change in the images. Finally, a fusion window counting model is constructed with the adaptive window and fixed window methods. The experimental results show that the average counting accuracy of the model is about 95%, which can verify the initial counting results of the machine and provide high-quality keyframes for the subsequent sheet designation recognition. |
| first_indexed | 2024-03-11T09:53:32Z |
| format | Article |
| id | doaj.art-ef4b88e52f34433593a0647c8db87073 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T09:53:32Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-ef4b88e52f34433593a0647c8db870732023-11-16T16:05:48ZengMDPI AGApplied Sciences2076-34172023-01-01133146110.3390/app13031461An Automatic Counting Algorithm for Topographic Maps Based on Videos for Map ManagementWen Cao0Yuzhen Tian1Xiaochong Tong2Weiming Yang3Congzhou Guo4Jingwen Zhu5He Li6Dali Wang7School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Geospatial Information, Information Engineering University, Zhengzhou 450001, ChinaInstitute of Logistics Science and Technology, Academy of Military Science, Beijing 100166, ChinaDepartment of Basic, Information Engineering University, Zhengzhou 450001, ChinaSchool of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Geospatial Information, Information Engineering University, Zhengzhou 450001, ChinaSchool of Geospatial Information, Information Engineering University, Zhengzhou 450001, ChinaTopographic maps comprise a rich data source for the processing and analysis of geographic information. However, the management of paper topographic maps is still dominated by an inefficient manual method, and there is no counting equipment for topographic maps that is suitable for narrow map warehouse passages. The existing algorithms relating to paper counting require paper hardness and cannot directly obtain the internal information of topographic maps. To address the above problems, using a map inventory machine transformed from a paddle-type paper counting machine to perform a preliminary count and obtain the video data of the counting progress, an automatic counting algorithm for topographic maps for map management is proposed in this study. First, the periodic feature changes of all the targets and each individual target in the videos are analyzed. Second, a deformable parts model accelerated by fast feature pyramids and by reducing the region of interest is used for the object detection of mechanical wheels. The grayscale variance function is selected to quantify the quality change in the images. Finally, a fusion window counting model is constructed with the adaptive window and fixed window methods. The experimental results show that the average counting accuracy of the model is about 95%, which can verify the initial counting results of the machine and provide high-quality keyframes for the subsequent sheet designation recognition.https://www.mdpi.com/2076-3417/13/3/1461map managementtopographic mappaper mapcountingdeformable parts modelfast feature pyramids |
| spellingShingle | Wen Cao Yuzhen Tian Xiaochong Tong Weiming Yang Congzhou Guo Jingwen Zhu He Li Dali Wang An Automatic Counting Algorithm for Topographic Maps Based on Videos for Map Management Applied Sciences map management topographic map paper map counting deformable parts model fast feature pyramids |
| title | An Automatic Counting Algorithm for Topographic Maps Based on Videos for Map Management |
| title_full | An Automatic Counting Algorithm for Topographic Maps Based on Videos for Map Management |
| title_fullStr | An Automatic Counting Algorithm for Topographic Maps Based on Videos for Map Management |
| title_full_unstemmed | An Automatic Counting Algorithm for Topographic Maps Based on Videos for Map Management |
| title_short | An Automatic Counting Algorithm for Topographic Maps Based on Videos for Map Management |
| title_sort | automatic counting algorithm for topographic maps based on videos for map management |
| topic | map management topographic map paper map counting deformable parts model fast feature pyramids |
| url | https://www.mdpi.com/2076-3417/13/3/1461 |
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