Validation of Object Recognition Framework on Android Mobile Platform

2011 IEEE 13th International Symposium on High-Assurance Systems Engineering Pub Date : 2011-11-10 DOI:10.1109/HASE.2011.62

V. Tyagi, A. Pandya, Ankur Agarwal, B. Alhalabi

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引用次数: 3

Abstract

In recent years there has been great interest in implementing object recognition frame work on mobile phones. This has stemmed from the fact the advances in object recognition algorithm and mobile phone capabilities have built a congenial ecosystem. Application developers on mobile platforms are trying to utilize the object recognition technology to build better human computer interfaces. This approach is in the nascent phase and proper application framework is required. In this paper, we propose a framework to overcome design challenges and provide an evaluation methodology to assess the system performance. We use the emerging Android mobile platform to implement and test the framework. We performed a case study using the proposal and reported the test result. This assessment will help developers make wise decisions about their application design. Furthermore, the Android API developers could use this information to provide better interfaces to the third party developers. The design and evaluation methodology could be extended to other mobile platforms for a wider consumer base.

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Android移动平台上目标识别框架的验证

近年来，人们对在移动电话上实现目标识别框架产生了极大的兴趣。这是因为物体识别算法和移动电话功能的进步建立了一个和谐的生态系统。移动平台上的应用程序开发人员正试图利用物体识别技术来构建更好的人机界面。这种方法还处于萌芽阶段，需要适当的应用程序框架。在本文中，我们提出了一个框架来克服设计挑战，并提供了评估系统性能的评估方法。我们使用新兴的Android移动平台来实现和测试该框架。我们使用该建议执行了一个案例研究，并报告了测试结果。这种评估将帮助开发人员对他们的应用程序设计做出明智的决策。此外，Android API开发人员可以使用这些信息为第三方开发人员提供更好的接口。设计和评估方法可以扩展到其他移动平台，以获得更广泛的消费者基础。

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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来源期刊

2011 IEEE 13th International Symposium on High-Assurance Systems Engineering

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