Development of a Multi-Object Detection and Human Tracking System from Cooperative Dual Cameras in an Unmanned Aerial Vehicle

2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2021-11-28 DOI:10.1109/HNICEM54116.2021.9732035

J. R. B. D. Rosario, A. Bandala, Janela Assumpta L. Angeles, Aldwin Jerome P. Cabebe, Jnssen Jeremy D. Co, Santamaria, S. Don Emmanuel

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Abstract

Object detection and human tracking are vital for pairing computer vision to a quadrotor. One application for this is monitoring traffic by either classifying vehicles or tracking people through the crowd. This was proven true by the developed system, garnering a detection rate of 77% for various vehicles in the Philippines, and showing the ability to track people on a dual camera system albeit as a proof-of-concept only. Though this can be a potentially huge field for digital image processing, there is still a challenge of creating a fast and responsive application through wireless communication. This study presented a quantitative data when approaching a quadcopter equipped with dual camera system streamed through WiFi connection.

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无人机协同双摄像头多目标检测与人体跟踪系统的研制

目标检测和人体跟踪对于将计算机视觉与四旋翼飞行器相结合至关重要。其中一个应用是通过对车辆进行分类或在人群中跟踪行人来监控交通。开发的系统证明了这一点，在菲律宾的各种车辆中获得了77%的检测率，并且显示了在双摄像头系统上跟踪人员的能力，尽管这只是一个概念验证。虽然这可能是数字图像处理的一个潜在的巨大领域，但通过无线通信创建快速响应的应用程序仍然存在挑战。本研究展示了通过WiFi连接接近配备双摄像头系统的四轴飞行器时的定量数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)

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