Integration of CV & RTL for Ambient Intelligence
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My PhD Thesis project. Fusion of UWB localization systems with computer vision based people tracking in an ambient intelligence scenario
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Integration of CV & RTL for Ambient Intelligence
- 1. Integration of computer vision and RTL technologies for ambient intelligence and Human-Computer Interaction Massimiliano Dibitonto DRIEI Dottorato di Ricerca in Ingegneria Elettronica e Informatica University of Cagliari, Italy
- 12. Objectives Outline Our research will point to:
- 14. Proposed integration models Sequential model : the RTL system act as a guide fro the vision based tracking system. The main benefit is a reduction of the computational complexity but on the other hand it doesn’t detect people/object not equipped with a tag.
- 15. Proposed integration models Parallel model : the two systems works indipendently , then a data fusion system analyze the two outputs . Localization via RTL/RFID system Image analysis – object/person tracking Comparison of the obtained data
- 24. Put together different “worlds”..... ... toward new intelligent scenarios
Hinweis der Redaktion
- Cooperative and non cooperative
- We are moving toward an Internet of Things scenario where objects and spaces are becoming “ intelligent ” and rich of information . This scenario is rising new challenges and new opportunities especially in the field of Human Computer Interaction . HCI paradigms are evolving toward “fluid” interfaces that become part of the surrounding environment and that are able to react to human behaviours and that should provide a natural interaction while interacting with complex systems, and avoid cognitive overload while accessing information and services Fusion of this different systems can be used to rethink the human-machine interactive experience developing new kind of interfaces. Integration models can be designed to use this systems as input device itself (i.e. proximity, gesture recognition) or use their outputs in more complex context capture systems and in multi agent systems to realize ambient that are “intelligent” allowing new kind of interaction paradigms between humans and machines.
- As traditional approaches of usability testing are suitable for testing individual applications or devices in an isolated manner there is the need to design new evaluation methodologies for this new kind of interfaces.