NDLI: Recognition of Traffic Lights in Live Video Streams on Mobile Devices

Content Provider	IEEE Xplore Digital Library
Author	Roters, J. Xiaoyi Jiang Rothaus, K.
Copyright Year	1991
Abstract	A mobile computer vision system is presented that helps visually impaired pedestrians cross roads. The system detects pedestrian lights in the environment and gives feedback about the current phase of the crucial light. For this purpose the live video stream of a mobile phone is analyzed in four steps: localization, classification, video analysis, and time-based verification. In particular, the temporal analysis allows us to alleviate the inherent problems such as occlusions (by vehicles), falsified colors, and others, and to further increase the decision certainty over a period of time. Due to the limited resources of mobile devices very efficient and precise algorithms have to be developed to ensure the reliability and the interactivity of the system. A prototype system was implemented on a Nokia N95 mobile phone and tested in real environment. It was trained to detect German traffic lights. For the prototype training and testing, we generated image and video databases including manually specified ground truth meta-data. These databases described in this paper are publicly available for the research community. Quantitative performance analysis is provided to demonstrate the reliability and interactivity of the prototype system.
Sponsorship	IEEE Circuits and Systems Society
Starting Page	1497
Ending Page	1511
Page Count	15
File Size	1414626
File Format	PDF
ISSN	10518215
Volume Number	21
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image color analysis Mobile handsets Streaming media Mobile communication Prototypes Databases Cameras video analysis Mobile media processing mobile phone pattern recognition traffic light
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Media Technology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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