An Indoor Location Method of Monocular Vision Assisted by Camera Calibration

doi:10.13474/j.cnki.11-2246.2018.0040

Abstract

Abstract:

At present,with the development of indoor positioning technology,people put a higher demand for the accuracy of indoor positioning.High precision and low cost indoor positioning technology has become a hot research.In this paper,a kind of monocular vision indoor positioning technology is proposed,which combines the indoor environment according to whether or not the area is divided and the camera is calibrated.The moving target of the video acquired by the camera is used to obtain the target pixel coordinates.And it uses the moving target to detect the acquired pixel coordinates and the positional relationship between the camera and the space and combine the plane constraint equation for the target position.The experimental results show that the accuracy of the algorithm is less than 0.15 m in the X direction and less than 0.35 m in the Y direction,and the average single point positioning time is less than 5 seconds,and a good indoor positioning effect is obtained.

Key words: indoor positioning, camera calibration, plane segmentation, target detection, coordinate solution

CLC Number:

P228

WANG Yong, CHEN Guoliang, LI Xiaoyuan, TIAN Peng, ZHOU Yu. An Indoor Location Method of Monocular Vision Assisted by Camera Calibration[J]. 测绘通报, 2018, 0(2): 35-40.

References

[1] YANG Chouchang,SHAO Huairong.WiFi-based Indoor Positioning[J].IEEE Communications Magazine:Articles, News, and Events of Interest to Communications Engin-eers,2015,53(3):150-157.
[2] ZOU H, JIANG H, LU X, et al. An Online Sequential Extreme Learning Machine Approach to WiFi Based Indoor Positioning[C]//Internet of Things.[S.l.]:IEEE, 2014:111-116.
[3] TORTEEKA P, XIU C. Indoor Positioning Based on WiFi Fingerprint Technique Using Fuzzy K-nearest Neighbor[C]//International Bhurban Conference on Applied Sciences and Technology.[S.l.]:IEEE, 2014:461-465.
[4] NADEEM U, HASSAN N U, PASHA M A, et al. Highly Accurate 3D Wireless Indoor Positioning System Using White LED Lights[J]. Electronics Letters, 2014, 50(11):828-830.
[5] YASIR M, HO S W, VELLAMBI B N. Indoor Positioning System Using Visible Light and Accelerometer[J]. Journal of Lightwave Technology, 2014, 32(19):3306-3316.
[6] KOK M, HOL J D, SCHON T B. Indoor Positioning Using Ultrawideband and Inertial Measurements[J].IEEE Transactions on Vehicular Technology,2015,64(4):1293-1303.
[7] 陈国良,张言哲,汪云甲,等.WiFi-PDR室内组合定位的无迹卡尔曼滤波算法[J].测绘学报,2015,44(12):1314-1321.
[8] 张会清,石晓伟,邓贵华,等.基于BP神经网络和泰勒级数的室内定位算法研究[J].电子学报,2012,40(9):1876-1879.
[9] 李丽娜,马俊,龙跃,等.基于LANDMARC与压缩感知的双段式室内定位算法[J].电子与信息学报,2016,38(7):1631-1637.
[10] TIAN Z, FANG X, ZHOU M, et al. Smartphone-based Indoor Integrated WiFi/MEMS Positioning Algorithm in a Multi-floor Environment[J]. Micromachines, 2015, 6(3):347-363.
[11] MORÉ J J. The Levenberg-marquardt algorithm:Implementa-tion and theory[J]. Lecture Notes in Mathematics, 1978, 630:105-116.
[12] ZHANG Z Y.A Flexible New Technique for Camera Calibration[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(11):1330-1334.
[13] TSAI R Y. An Efficient and Accurate Camera Calibration Technique for 3D Machine Vision[J]. Proceeding of Computer Vision and Pattern Recognition, 1986(6):364-374.
[14] XU M, MA M. Real-time Detection of Moving Human Target under Indoor Environment Based on Video[C]//International Symposium on Test Automation & Instrumentation. Beijing:[s.n.],2014.
[15] LUCAS B D, KANADE T. An Iterative Image Registration Technique with an Application to Stereo Vision[C]//International Joint Conference on Artificial Intelligence.[S.l.]:Morgan Kaufmann Publishers,1981:674-679.
[16] SUGANYADEVI K, MALMURUGAN N. OFGM-SMED:An Efficient and Robust Foreground Object Detection in Compressed Video Sequences[M].[S.l.]:Pergamon Press, 2014.