This paper represents an idea to track employee in highly active industries using mobile application. The majority of geographic positioning systems had been designed to operate within environments that have a long term stable macro structure with potential small scale dynamics. These assumptions enable the present positioning systems to supply and utilize maps. In extremely active industrial settings these assumptions are not valid and so the task of tracking employees is very difficult because of large scale changes in structure. In this project, an unique positioning system for following individuals in highly active industries such as construction sites, marketing and so on. However our system uses cross modality coaching in order to track the environmental changes by utilizing occlusion maps and how these maps can be used in conjunction with social forces to predict human movement and increase the tracking accuracy.
by R. Mahalakshmi | S. Janani | R. Sivasankari "A Crowd Sourcing to Track Individuals in Highly Active Industries"
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3, April 2019,
URL: https://www.ijtsrd.com/papers/ijtsrd22777.pdf
Paper URL: https://www.ijtsrd.com/computer-science/other/22777/a-crowd-sourcing-to-track-individuals-in-highly-active-industries/r-mahalakshmi
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