In-situ Feature-Based Objects Tracking for Data-Intensive Scientific and Enterprise Analytics Workflows | The NSF Cloud and Autonomic Computing Center at Rutgers

Title	In-situ Feature-Based Objects Tracking for Data-Intensive Scientific and Enterprise Analytics Workflows
Publication Type	Journal Article
Year of Publication	2014
Authors	Lasluisa, S, Zhang, F, Jin, T, Rodero, I, Bui, H, Parashar, M
Journal	Cluster Computing: The Journal of Networks, Software Tools, and Applications
Volume	18
Pagination	29–40
Publisher	Springer

Document:

The National Science Foundation Dept of the Navy Science and Technology Department of Homeland Security

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