The Community for Technology Leaders
RSS Icon
Issue No.03 - July-Sept. (2012 vol.19)
pp: 74-80
Qia Wang , University of Missouri
Wenjun Zeng , University of Missouri
Aleksandre G. Lobzhanidze , University of Missouri
Smartphones have come a long way over the past 10 years—from containing a simple database of calendar entries and contacts to including a digital camera, digital compass, GPS, and thousands of apps available with the touch of a button on the screen. People like smartphones for many reasons, particularly because of their mobility, friendly user interface, large number of useful applications, interactive games, and higher bandwidth with the help of 3G networks. From a technical point of view, the fundamental reason behind the popularity of smartphones is that they are not only a communications device, but also provide a powerful sensing and computing platform. A growing number of computing tasks previously executed on PCs are now being performed on smartphones. Because of all this, smartphones are increasingly attracting attention from researchers, with research efforts in mobile media streaming, video retargeting, location-based systems, and mobile vision systems, among others. PositionIt, a mobile media-based remote target-localization and tracking system, is one part of a comprehensive system that uses networked smartphones to localize a remote target of interest by fusing data sensed by microphones, cameras, and other embedded sensors.
Smart phones, Research and development, Mobile communication, Media, Computer applications, Target tracking, mobile application development, multimedia, smartphone, mobile media, multimedia research, mobile communications, remote target positioning
Qia Wang, Wenjun Zeng, Aleksandre G. Lobzhanidze, "Mobile Media in Action: Remote Target Localization and Tracking", IEEE MultiMedia, vol.19, no. 3, pp. 74-80, July-Sept. 2012, doi:10.1109/MMUL.2012.37
1. H. Hile et al., "Landmark-Based Pedestrian Navigation with Enhanced Spatial Reasoning," Proc. 7th Int'l Conf. Pervasive Computing, Springer, 2009, pp. 59–76.
2. F.X. Yu, R. Ji, and S.-F. Chang, "Active Query Sensing for Mobile Location Search," Proc. ACMInt'l Conf. Multimedia (ACM MM), ACM Press, 2011, pp. 3–12.
3. J. Roters, X. Jiang, and K. Rothaus, "Recognition of Traffic Lights in Live Video Streams on Mobile Devices," IEEE Trans. Circuits and Systems for Video Technology, vol. 21, no. 10, 2011, pp. 1497–1511.
4. Q. Wang et al., "PositionIt − An Image-Based Remote Target Localization System on Smartphones," Proc. ACM Int'l Multimedia Conf., ACM Press, 2011, pp. 821–822.
5. Q. Wang et al., "Video Based Real-World Remote Target Tracking on Smartphones," to be published in Proc. IEEE Int'l Conf. Multimedia and Expo, IEEE CS Press, 2012.
6. Y. Shang et al., "Nest: Networked Smartphones for Target Localization," Proc. IEEE Consumer Communications and Networking Conf., IEEE CS Press, 2012, pp. 732–736.
7. H. Bay et al., "SURF: Speeded Up Robust Features," Computer Vision and Image Understanding, vol. 110, no. 3, 2008, pp. 346–359.
3 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool