Novel Texture-based Probabilistic Object Recognition and Tracking Techniques for Food Intake Analysis and Traffic Monitoring
More complex image understanding algorithms are increasingly practical in a host of emerging applications. Object tracking has value in surveillance and data farming; and object recognition has applications in surveillance, data management, and industrial automation. In this work we introduce an obj...
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| Format: | Others |
| Language: | en |
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LSU
2015
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| Online Access: | http://etd.lsu.edu/docs/available/etd-10022015-140942/ |