Improved Object Localization Using Accurate Distance Estimation in Wireless Multimedia Sensor Networks.
Where this comes from
- Record sourced from PubMed, PMID 26528919.
- Also identified by DOI 10.1371/journal.pone.0141558 and PMC identifier 4631602.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Object localization plays a key role in many popular applications of Wireless Multimedia Sensor Networks (WMSN) and as a result, it has acquired a significant status for the research community. A significant body of research performs this task without considering node orientation, object geometry and environmental variations. As a result, the localized object does not reflect the real world scenarios. In this paper, a novel object localization scheme for WMSN has been proposed that utilizes range free localization, computer vision, and principle component analysis based algorithms. The proposed approach provides the best possible approximation of distance between a wmsn sink and an object, and the orientation of the object using image based information. Simulation results report 99% efficiency and an error ratio of 0.01 (around 1 ft) when compared to other popular techniques.
Medical subject headings
- Algorithms
- Models, Theoretical
- Multimedia
- Wireless Technology