Mobile Challenges for Embedded Computer Vision

Chai, Sek

doi:10.1007/978-1-84800-304-0_11

Cited by 6 publications

(3 citation statements)

References 33 publications

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“…Phone resources are limited. Limitations are on the CPU, battery charges and the memory [16]. The first problem in implementing lip reading algorithms on mobile phones is limited resources in comparison to PCs.…”

Section: Experiments Resultsmentioning

confidence: 99%

Mobile phone security using automatic lip reading

Lesani

Ghazvini

Dianat

2015

2015 9th International Conference on E-Commerce in Developing Countries: With Focus on E-Business (ECDC)

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During the recent years mobile phones' usage and their application in the everyday life has increased dramatically. Therefore the modern methods of security in mobile phone applications are highly regarded especially in mobile banking applications. In this paper, a novel security method is introduced in which a password is received using visual information processing from the user's lips. Phone Camera can provide the ability to track user's lip motion using lip reading algorithms to recognize the security words like passwords. Mobility in mobile phones has led to a change in ambient light. In this research, a method has been proposed to solve light change challenges in mobile phones. Finally an m-commerce android application is designed and implemented using this technique. The application recognizes passwords using automatic lip reading and checks whether the password is correct or not. If password is correct, the user can open his/her bank application. The reliability of this method is evaluated comparing with the traditional method of password protection in mobile phones.

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Section: Experiments Resultsmentioning

confidence: 99%

Mobile phone security using automatic lip reading

Lesani

Ghazvini

Dianat

2015

2015 9th International Conference on E-Commerce in Developing Countries: With Focus on E-Business (ECDC)

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“…This system can effectively solve the difficulties and pain points of foreign material intrusion monitoring in the current railway industry, liberate the labor force, and ensure the safety of railway operation. At the same time, the cost of sensor network is low, with the cost per meter not exceeding 50 yuan, which greatly reduces the project cost [8] .…”

Section: Economymentioning

confidence: 99%

Design and research of railway foreign material intrusion limit based on new sensor and network

Qiu¹,

Li²,

Wei³

et al. 2023

International Conference on Internet of Things and Machine Learning (IoTML 2022)

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foreign matter intrusion on train operation safety is becoming increasingly serious. Based on a large amount of research data, among many factors affecting the operation safety of high-speed railway, the detection of personnel and foreign matter intrusion is difficult, and the preventive measures are limited, mainly because of its strong randomness and complexity. This paper systematically introduces the development status of high-speed railway line protection technology at home and abroad, especially summarizes the development status of high-speed railway line monitoring technology in China, and proposes a new design of foreign object intrusion detection and alarm device based on new sensors and networks, which has certain reference value for high-speed railway line protection and railway bureaus and departments in related fields.

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“…There is a growing interest in applying computer vision algorithms in support of mobile applications [7]. SenseCam [12] is a life logging application.…”

Section: Related Workmentioning

confidence: 99%

Visage: A Face Interpretation Engine for Smartphone Applications

Yang

You

et al. 2013

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. Smartphones represent powerful mobile computing devices enabling a wide variety of new applications and opportunities for human interaction, sensing and communications. Because smartphones come with front-facing cameras, it is now possible for users to interact and drive applications based on their facial responses to enable participatory and opportunistic face-aware applications. This paper presents the design, implementation and evaluation of a robust, real-time face interpretation engine for smartphones, called Visage, that enables a new class of face-aware applications for smartphones. Visage fuses data streams from the phone's front-facing camera and built-in motion sensors to infer, in an energy-e cient manner, the user's 3D head poses (i.e., the pitch, roll and yaw of user's heads with respect to the phone) and facial expressions (e.g., happy, sad, angry, etc.). Visage supports a set of novel sensing, tracking, and machine learning algorithms on the phone, which are specifically designed to deal with challenges presented by user mobility, varying phone contexts, and resource limitations. Results demonstrate that Visage is e↵ective in di↵erent real-world scenarios. Furthermore, we developed two distinct proof-of-concept applications, Streetview+ and Mood Profiler driven by Visage.

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Mobile Challenges for Embedded Computer Vision

Cited by 6 publications

References 33 publications

Mobile phone security using automatic lip reading

Mobile phone security using automatic lip reading

Design and research of railway foreign material intrusion limit based on new sensor and network

Visage: A Face Interpretation Engine for Smartphone Applications

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