Vehicle driving video sharing and search framework based on GPS data

Chuan Yen Chiang, Shyan-Ming Yuan, Shian Bo Yang, Guo Heng Luo, Yen Lin Chen*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

The driving dispute is a critical problem for drivers when the car accident is happened. The drivers usually install the car video recorder in their car to recode their driving images for many years ago. If a car accident is happened, the driver can provide a driving video file as an evidence to claim that they did not do any dangerous driving, and protect themself. However, in some situations, drivers may not in the car accident when driving the car, but they have the same requirement for a video record, because they want to use those video files to find out the crime in hit-and-run accident. Due to an evolution of social network, many people were post the required messages to find the driving videos recorded in some specific times and locations. In fact, such kind of messages can be beneficial for many people to solve the hit-andrun accident by using social networks and driving videos. The goal of this paper is to develop a framework which can provide a platform for users to upload their driving videos, and allow other users can search video by a given specific time, date and location from the frameworks’ database. This framework can also provide the application on mobile devices for user to recorder their driving videos, and this application can upload their driving video into the frameworks’ database automatically.

Original languageEnglish
Title of host publicationGenetic and Evolutionary Computing - 7th International Conference on Genetic and Evolutionary Computing, ICGEC 2013, Proceedings
EditorsJeng-Shyang Pan, Pavel Krömer, Václav Snášel
PublisherSpringer Verlag
Pages389-397
Number of pages9
ISBN (Electronic)9783319017808
DOIs
StatePublished - 1 Jan 2014
Event7th International Conference on Genetic and Evolutionary Computing, ICGEC 2013 - Prague, Czech Republic
Duration: 25 Aug 201327 Aug 2013

Publication series

NameAdvances in Intelligent Systems and Computing
Volume238
ISSN (Print)2194-5357

Conference

Conference7th International Conference on Genetic and Evolutionary Computing, ICGEC 2013
CountryCzech Republic
CityPrague
Period25/08/1327/08/13

Keywords

  • Driving recorder
  • Framework
  • GPS
  • Map matching algorithm
  • Video searching
  • Video sharing

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  • Cite this

    Chiang, C. Y., Yuan, S-M., Yang, S. B., Luo, G. H., & Chen, Y. L. (2014). Vehicle driving video sharing and search framework based on GPS data. In J-S. Pan, P. Krömer, & V. Snášel (Eds.), Genetic and Evolutionary Computing - 7th International Conference on Genetic and Evolutionary Computing, ICGEC 2013, Proceedings (pp. 389-397). (Advances in Intelligent Systems and Computing; Vol. 238). Springer Verlag. https://doi.org/10.1007/978-3-319-01796-9_42