Real-Time Web Map Construction Based on Multiple Cameras and GIS
Previous VideoGIS integration methods mostly used geographic homography mapping. However, the related processing techniques were mainly for independent cameras and the software architecture was C/S, resulting in large deviations in geographic video mapping for small scenes, a lack of multi-camera vi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/10/12/803 |
| _version_ | 1797503953927143424 |
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| author | Xingguo Zhang Xinyu Shi Xiaoyue Luo Yinping Sun Yingdi Zhou |
| author_facet | Xingguo Zhang Xinyu Shi Xiaoyue Luo Yinping Sun Yingdi Zhou |
| author_sort | Xingguo Zhang |
| collection | DOAJ |
| description | Previous VideoGIS integration methods mostly used geographic homography mapping. However, the related processing techniques were mainly for independent cameras and the software architecture was C/S, resulting in large deviations in geographic video mapping for small scenes, a lack of multi-camera video fusion, and difficulty in accessing real-time information with WebGIS. Therefore, we propose real-time web map construction based on the object height and camera posture (RTWM-HP for short). We first consider the constraint of having a similar height for each object by constructing an auxiliary plane and establishing a high-precision homography matrix (HP-HM) between the plane and the map; thus, the accuracy of geographic video mapping can be improved. Then, we map the objects in the multi-camera video with overlapping areas to geographic space and perform the object selection with the multi-camera (OS-CDD) algorithm, which includes the confidence of the object, the distance, and the angle between the objects and the center of the cameras. Further, we use the WebSocket technology to design a hybrid C/S and B/S software framework that is suitable for WebGIS integration. Experiments were carried out based on multi-camera videos and high-precision geospatial data in an office and a parking lot. The case study’s results show the following: (1) The HP-HM method can achieve the high-precision geographic mapping of objects (such as human heads and cars) with multiple cameras; (2) the OS-CDD algorithm can optimize and adjust the positions of the objects in the overlapping area and achieve a better map visualization effect; (3) RTWM-HP can publish real-time maps of objects with multiple cameras, which can be browsed in real time through point layers and hot-spot layers through WebGIS. The methods can be applied to some fields, such as person or car supervision and the flow analysis of customers or traffic passengers. |
| first_indexed | 2024-03-10T03:57:45Z |
| format | Article |
| id | doaj.art-aa6e75431cef4b64a81c87fc6ab5f459 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T03:57:45Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-aa6e75431cef4b64a81c87fc6ab5f4592023-11-23T08:41:46ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-11-01101280310.3390/ijgi10120803Real-Time Web Map Construction Based on Multiple Cameras and GISXingguo Zhang0Xinyu Shi1Xiaoyue Luo2Yinping Sun3Yingdi Zhou4School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, ChinaSchool of Geographic Sciences, Xinyang Normal University, Xinyang 464000, ChinaCollege of Resources Environment and Tourism, Capital Normal University, Beijing 100048, ChinaSchool of Geographic Sciences, Xinyang Normal University, Xinyang 464000, ChinaSchool of Geographic Sciences, Xinyang Normal University, Xinyang 464000, ChinaPrevious VideoGIS integration methods mostly used geographic homography mapping. However, the related processing techniques were mainly for independent cameras and the software architecture was C/S, resulting in large deviations in geographic video mapping for small scenes, a lack of multi-camera video fusion, and difficulty in accessing real-time information with WebGIS. Therefore, we propose real-time web map construction based on the object height and camera posture (RTWM-HP for short). We first consider the constraint of having a similar height for each object by constructing an auxiliary plane and establishing a high-precision homography matrix (HP-HM) between the plane and the map; thus, the accuracy of geographic video mapping can be improved. Then, we map the objects in the multi-camera video with overlapping areas to geographic space and perform the object selection with the multi-camera (OS-CDD) algorithm, which includes the confidence of the object, the distance, and the angle between the objects and the center of the cameras. Further, we use the WebSocket technology to design a hybrid C/S and B/S software framework that is suitable for WebGIS integration. Experiments were carried out based on multi-camera videos and high-precision geospatial data in an office and a parking lot. The case study’s results show the following: (1) The HP-HM method can achieve the high-precision geographic mapping of objects (such as human heads and cars) with multiple cameras; (2) the OS-CDD algorithm can optimize and adjust the positions of the objects in the overlapping area and achieve a better map visualization effect; (3) RTWM-HP can publish real-time maps of objects with multiple cameras, which can be browsed in real time through point layers and hot-spot layers through WebGIS. The methods can be applied to some fields, such as person or car supervision and the flow analysis of customers or traffic passengers.https://www.mdpi.com/2220-9964/10/12/803VideoGISmultiple camerasgeographic videoreal-time web mapdeep learning |
| spellingShingle | Xingguo Zhang Xinyu Shi Xiaoyue Luo Yinping Sun Yingdi Zhou Real-Time Web Map Construction Based on Multiple Cameras and GIS ISPRS International Journal of Geo-Information VideoGIS multiple cameras geographic video real-time web map deep learning |
| title | Real-Time Web Map Construction Based on Multiple Cameras and GIS |
| title_full | Real-Time Web Map Construction Based on Multiple Cameras and GIS |
| title_fullStr | Real-Time Web Map Construction Based on Multiple Cameras and GIS |
| title_full_unstemmed | Real-Time Web Map Construction Based on Multiple Cameras and GIS |
| title_short | Real-Time Web Map Construction Based on Multiple Cameras and GIS |
| title_sort | real time web map construction based on multiple cameras and gis |
| topic | VideoGIS multiple cameras geographic video real-time web map deep learning |
| url | https://www.mdpi.com/2220-9964/10/12/803 |
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