Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Design and Implementation of UAV Vision Tracking System

Authors
Qiang Wu, Wenpeng Chen, Xin Zheng, Xuwen Li
Corresponding Author
Qiang Wu
Available Online April 2017.
DOI
https://doi.org/10.2991/fmsmt-17.2017.299How to use a DOI?
Keywords
Visual Tracking, UAV, Scale Adaptive Mean Shift, Image Processing
Abstract
UAV is increasingly popular in the field of military, civil and scientific research, since its low loss, strong adaptability and high mobility. This paper introduces the design and implement of the visual tracking system based on the rotor UAV, and gives the UAV a function of continuous and stable tracking of the ground target. Based on the standard Mean Shift algorithm, we introduce the improved object tracking algorithm with the spatial histogram and scale estimation. The robustness to scale adaptive and background related interference is improved with the enhanced tracking algorithm. It is finally implemented in our image processing board with TMS320C6657 and ZYNQ 7020. The whole system is optimized and accelerated by both of the two core of DSP. We finally achieve the real-time tracking and monitoring of the ground target in the range of 100m ~ 1km.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Qiang Wu
AU  - Wenpeng Chen
AU  - Xin Zheng
AU  - Xuwen Li
PY  - 2017/04
DA  - 2017/04
TI  - Design and Implementation of UAV Vision Tracking System
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1539
EP  - 1543
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.299
DO  - https://doi.org/10.2991/fmsmt-17.2017.299
ID  - Wu2017/04
ER  -