A Novel Approach for Detecting and Tracking Humans

An efficient and improved geographical asset tracking Solution to conserve a valuable mobile resource by dynamically adapting the tracking scheme by means of context-aware personalized route learning techniques. The system uses the software used to be run on Android based mobile phones to be run. To refine the global positioning results we devise techniques by fitting the global positions to the locally structured measured ones, so the remaining positioning results are more likely to elicit the truth. We develop a prototype system, named GloCal, and conduct comprehensive experiments in both crowded urban and spacious suburban areas.