基于惯性传感器的视频技术支持系统目标跟踪方法

2015 Open Conference of Electrical, Electronic and Information Sciences (eStream) Pub Date : 2015-04-21 DOI:10.1109/ESTREAM.2015.7119496

D. Plonis, A. Serackis

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引用次数: 1

摘要

最近，来自手持设备的实时视频流进入了大众市场。普通的视像会议系统补充了额外的功能，例如标记，以便使与会者注意到视像中的特定对象。然而，实时视频标记的准确性取决于两个视频会议参与者之间接收的视频延迟。本研究的目的是提出一种在两个视频流中同步视频对象坐标的解决方案:传输和接收的延迟接近2秒。本文提出了一种基于惯性传感器数据的视频流目标跟踪系统。研究发现，利用手持设备的惯性传感器可以预测目标物体在潜伏期内的位移，平均精度为86%。

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Inertial sensor based object tracking method for video based technical support system

Recently, live video streaming from hand- held devices entered mass market. Ordinary video conference systems were supplemented with additional features, such as marking in order to point attention of the conference participants on specific object in the video. However, the accuracy of live video marking depends on the video latency, received between two video conference participants. The aim of this study was to propose a solution to synchronise video object coordinates in two video streams: transmitted and received with latency that is close to 2 seconds. A new system was proposed in this paper designed to track an object in the video stream based on the inertial sensor data. It was found that the displacement of the object of interest during latency interval could be predicted by the use of inertial sensors of the handheld device with 86% accuracy in average.

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2015 Open Conference of Electrical, Electronic and Information Sciences (eStream)

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