Using KCF and face recognition for outdoor target tracking UAV

Lu Chen; Yanhua Shao; Yanying Mei; Hongyu Chu; Zhiyuan Chang; Huayi Zhan; Yunbo Rao; Gui Yang

doi:10.1117/12.2524401

6 May 2019 Using KCF and face recognition for outdoor target tracking UAV

Lu Chen, Yanhua Shao, Yanying Mei, Hongyu Chu, Zhiyuan Chang, Huayi Zhan, Yunbo Rao, Gui Yang

Proceedings Volume 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018); 110690J (2019) https://doi.org/10.1117/12.2524401
Event: Tenth International Conference on Graphic and Image Processing (ICGIP 2018), 2018, Chengdu, China

Abstract

Outdoor target tracking UAV (Unmanned Aerial Vehicle), which is a research hotspot in the field of computer vision and unmanned aerial system, needs robust target-tracking algorithms with good real-time performance, accurate position estimator of UAV and the corresponding control strategy of the system. In this paper, we designed an outdoor drone tracking system using PCA (Principal Component Analysis) face recognition algorithm and KCF (Kernel Correlation Filter) target tracking algorithm. Firstly, an image acquisition unit is constructed by using an on-board pan-and-tilt camera to capture an outdoor monitored area. Secondly, the PCA algorithm is used for face matching, then the tracking mode is automatically transferred when the expected face target is recognized. Finally, the target tracking is performed by the KCF algorithm. After that, the position error is calculated and sent to the flight control system through the MavLink protocol, thereby performing posture adjustment and completing the tracking and monitoring task. Experimental results show that the performance of outdoor target tracking flight robot is stable and reliable, which meets the requirements of outdoor target tracking and has a good application prospect.

Citation Download Citation

Lu Chen, Yanhua Shao, Yanying Mei, Hongyu Chu, Zhiyuan Chang, Huayi Zhan, Yunbo Rao, and Gui Yang "Using KCF and face recognition for outdoor target tracking UAV", Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 110690J (6 May 2019); https://doi.org/10.1117/12.2524401

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