Abstract
Aiming at the problem of single target object detection and tracking in unknown environment, we propose a dynamic target tracking and positioning method based on integral compensation algorithm. The discrete digital quantity is quantized and transformed into a continuous analog quantity, and the tracking direction is controlled by the angular rate control function. In the process of tracking, if the motion state of the target changes, the control function is directly integrated with the compensation algorithm to get a new tracking direction. Through the mathematical modeling analysis and experimental tests, experiments showed that in the single dynamic target object tracking, for the general object dynamic tracking, has a good dynamic, real-time. It has a certain application prospect in single target detection and multi-target tracking accuracy correction.
Keywords
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Acknowledgements
This work is supported by Natural Science Foundation of Guangdong Province (No. 2016A030307029) and Maoming Engineering Research Center on Industrial Internet of Things (No. 517018).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Xu, J., Lu, G., Lin, J., Huang, J. (2018). Research of Positioning Tracking on Dynamic Target Based on the Integral Complementing Algorithm. In: Romdhani, I., Shu, L., Takahiro, H., Zhou, Z., Gordon, T., Zeng, D. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 252. Springer, Cham. https://doi.org/10.1007/978-3-030-00916-8_5
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