Grant: Discovery Grants Program - Individual
University of Western Ontario
$15,000.00
Goal driven visual object identification and tracking system for a heterogeneous sensor network
FY 2009-10
Summary
A smart space is a physical environment that is saturated with sensory, computing and communication capabilities together with the software that integrates them. It will anticipate the needs of its occupants and will provide services as and when they are needed. Such spaces have applications in diverse areas such as healthcare, manufacturing, education, environment monitoring, command centers and security. A key building block that is needed to make such a system a reality is the capability to identify, locate and track objects (both animate and inanimate) in this space. Such a capability also paves way for determining patterns of activity among the occupants of a smart space. In this proposal, we discuss the development of a software framework together with a set of tools for sensory data collection and analysis that will implement this building block for use in a sensor network.
Each tool in this system will encapsulate an algorithm that provides a particular functionality such as face detection, speech recognition and object location etc. More importantly, each tool will also incorporate the knowledge required to use the algorithm within itself. Such knowledge includes information about input data, algorithm parameters, output formats as well as information about the task it can accomplish and how well it can accomplish this task.
Our primary contribution in this proposal is the development of the software infrastructure that allows a society of expert tools to accomplish a given task, development of templates for individual tools, development of knowledge representation mechanisms and vocabularies for individual tools as well as example based learning methods that allow certain tools to expand their capabilities.
A critical area that we plan to investigate is the aspects of security and privacy in a smart space, which are now gaining considerable attention. We propose to develop a set of security and privacy requirements for a smart space as well as develop the algorithms and mechanisms to support these requirements.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
239004-2007
Name nom
Samarabandu, Jagath
Department département
Electrical and Computer Engineering
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2009
Competition year année de concours
2007
Award amount
15000
Program id
RGPIN
Program nane en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
334
Committee name en
Commun.,Computers & Components
Committee name fr
Communic.,ordin. et composants
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2708
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Image processing
Research subject fr
Traitement des images
Partie
3
Nb partie
5
Application title
Goal driven visual object identification and tracking system for a heterogeneous sensor network
Keyword
NA
Application summary
A smart space is a physical environment that is saturated with sensory, computing and communication capabilities together with the software that integrates them. It will anticipate the needs of its occupants and will provide services as and when they are needed. Such spaces have applications in diverse areas such as healthcare, manufacturing, education, environment monitoring, command centers and security. A key building block that is needed to make such a system a reality is the capability to identify, locate and track objects (both animate and inanimate) in this space. Such a capability also paves way for determining patterns of activity among the occupants of a smart space. In this proposal, we discuss the development of a software framework together with a set of tools for sensory data collection and analysis that will implement this building block for use in a sensor network.
Each tool in this system will encapsulate an algorithm that provides a particular functionality such as face detection, speech recognition and object location etc. More importantly, each tool will also incorporate the knowledge required to use the algorithm within itself. Such knowledge includes information about input data, algorithm parameters, output formats as well as information about the task it can accomplish and how well it can accomplish this task.
Our primary contribution in this proposal is the development of the software infrastructure that allows a society of expert tools to accomplish a given task, development of templates for individual tools, development of knowledge representation mechanisms and vocabularies for individual tools as well as example based learning methods that allow certain tools to expand their capabilities.
A critical area that we plan to investigate is the aspects of security and privacy in a smart space, which are now gaining considerable attention. We propose to develop a set of security and privacy requirements for a smart space as well as develop the algorithms and mechanisms to support these requirements.
