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Francisco Flórez-Revuelta
Interdisciplinary Hub for the Study of Health
and Age-related conditions (IhSHA)
Visual monitoring of people in private
spaces
Visual monitoring in public
spaces
Sensors in private spaces
Cameras in private spaces
Fabien, C., Deepayan, B., Charith, A., & Mark, S. (2011). Video based technology for
ambient assisted living: A review of the literature. Journal of Ambient Intelligence and
Smart Environments (JAISE), 3(3), 253-269
Chaaraoui, A. A., Climent-Pérez, P., & Flórez-Revuelta, F. (2012). A review on vision
techniques applied to human behaviour analysis for ambient-assisted living. Expert
Systems with Applications, 39(12), 10873-10888
Computer vision in AAL
Fall detection and prevention
Identification of Activities of Daily
Living
Behaviour monitoring
Physiological monitoring
Person-environment interaction
Rehabilitation
Support to people with cognitive
impairment
Cons:
Cluttered environments
Occlusions
Privacy preservation
Limited field of view
Pros:
Richer information
Tracking of coarse and fine movements/actions
Synergies with other services
Ease to interpret
Pros and cons
Idea behind
Idea behind
Appropriate measures need to be considered to maintain privacy and increase
acceptance
The notion of privacy is highly subjective. It depends on the
individual.
Several factors are involved:
The private “thing”
The observer
An image conveys the following information about an individual:
Identity (Who?)
Appearance (How?)
Activity / Behaviour / Event (What?)
Time (When?)
Location (Where?)
Privacy preservation
Image Redaction: Modify an image or a sequence of images so as to protect
objects (visual clues) appearing on them
But…
The image must retain its utility
A trade-off between privacy protection and image utility is needed
Privacy must be adaptable to the individual
Ensuring visual privacy
We propose a privacy protection scheme that is aware of the context
A set of redaction methods is used
A context describes “any” situation:
Identity of the observer
Identity of the observed person (to retrieve the privacy profile)
Closeness between person and observer, e.g. relative, doctor, neighbour
Appearance (dressed?)
Location, e.g. kitchen, living room
Event, e.g. cooking, watching TV, fall
Users provide their privacy preferences by linking instances of the context with
protection/visualisation methods
Privacy by context
Privacy by context
Visualisation levels
Original Pixelate Blur Emboss Silhouette
Skeleton Avatar Invisibility
Visualisation levels
Tests with RGB-D cameras
Tests with RGB cameras
Improvement in the calculation of the context
Identity (Who?)
Appearance (How?)
Activity / Behaviour / Event (What?)
Time (When?)
Location (Where?)
Improvement in foreground/person detection
Most of activity/behaviour identification systems are validated in labs, not in real
environments
Privacy of the environment
Main issues: current and future
work
Francisco (Paco) Flórez-Revuelta
F.Florez@kingston.ac.uk @fflorezrevuelta
staffnet.kingston.ac.uk/~ku48824 franciscoflorezrevuelta

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Visual Monitoring of People in Private Spaces

  • 1. Francisco Flórez-Revuelta Interdisciplinary Hub for the Study of Health and Age-related conditions (IhSHA) Visual monitoring of people in private spaces
  • 2. Visual monitoring in public spaces
  • 5. Fabien, C., Deepayan, B., Charith, A., & Mark, S. (2011). Video based technology for ambient assisted living: A review of the literature. Journal of Ambient Intelligence and Smart Environments (JAISE), 3(3), 253-269 Chaaraoui, A. A., Climent-Pérez, P., & Flórez-Revuelta, F. (2012). A review on vision techniques applied to human behaviour analysis for ambient-assisted living. Expert Systems with Applications, 39(12), 10873-10888 Computer vision in AAL Fall detection and prevention Identification of Activities of Daily Living Behaviour monitoring Physiological monitoring Person-environment interaction Rehabilitation Support to people with cognitive impairment
  • 6. Cons: Cluttered environments Occlusions Privacy preservation Limited field of view Pros: Richer information Tracking of coarse and fine movements/actions Synergies with other services Ease to interpret Pros and cons
  • 9. Appropriate measures need to be considered to maintain privacy and increase acceptance The notion of privacy is highly subjective. It depends on the individual. Several factors are involved: The private “thing” The observer An image conveys the following information about an individual: Identity (Who?) Appearance (How?) Activity / Behaviour / Event (What?) Time (When?) Location (Where?) Privacy preservation
  • 10. Image Redaction: Modify an image or a sequence of images so as to protect objects (visual clues) appearing on them But… The image must retain its utility A trade-off between privacy protection and image utility is needed Privacy must be adaptable to the individual Ensuring visual privacy
  • 11. We propose a privacy protection scheme that is aware of the context A set of redaction methods is used A context describes “any” situation: Identity of the observer Identity of the observed person (to retrieve the privacy profile) Closeness between person and observer, e.g. relative, doctor, neighbour Appearance (dressed?) Location, e.g. kitchen, living room Event, e.g. cooking, watching TV, fall Users provide their privacy preferences by linking instances of the context with protection/visualisation methods Privacy by context
  • 13. Visualisation levels Original Pixelate Blur Emboss Silhouette Skeleton Avatar Invisibility
  • 15. Tests with RGB-D cameras
  • 16. Tests with RGB cameras
  • 17. Improvement in the calculation of the context Identity (Who?) Appearance (How?) Activity / Behaviour / Event (What?) Time (When?) Location (Where?) Improvement in foreground/person detection Most of activity/behaviour identification systems are validated in labs, not in real environments Privacy of the environment Main issues: current and future work
  • 18. Francisco (Paco) Flórez-Revuelta F.Florez@kingston.ac.uk @fflorezrevuelta staffnet.kingston.ac.uk/~ku48824 franciscoflorezrevuelta

Notas do Editor

  1. AAL refers to intelligent systems for a better, healthier and safer life in the preferred living environment in order to compensate age-related functional limitations.
  2. AAL refers to intelligent systems for a better, healthier and safer life in the preferred living environment in order to compensate age-related functional limitations.
  3. AAL refers to intelligent systems for a better, healthier and safer life in the preferred living environment in order to compensate age-related functional limitations.
  4. AAL refers to intelligent systems for a better, healthier and safer life in the preferred living environment in order to compensate age-related functional limitations.
  5. AAL refers to intelligent systems for a better, healthier and safer life in the preferred living environment in order to compensate age-related functional limitations.
  6. AAL refers to intelligent systems for a better, healthier and safer life in the preferred living environment in order to compensate age-related functional limitations.
  7. AAL refers to intelligent systems for a better, healthier and safer life in the preferred living environment in order to compensate age-related functional limitations.
  8. AAL refers to intelligent systems for a better, healthier and safer life in the preferred living environment in order to compensate age-related functional limitations.
  9. AAL refers to intelligent systems for a better, healthier and safer life in the preferred living environment in order to compensate age-related functional limitations.
  10. AAL refers to intelligent systems for a better, healthier and safer life in the preferred living environment in order to compensate age-related functional limitations.
  11. AAL refers to intelligent systems for a better, healthier and safer life in the preferred living environment in order to compensate age-related functional limitations.
  12. AAL refers to intelligent systems for a better, healthier and safer life in the preferred living environment in order to compensate age-related functional limitations.
  13. AAL refers to intelligent systems for a better, healthier and safer life in the preferred living environment in order to compensate age-related functional limitations.
  14. AAL refers to intelligent systems for a better, healthier and safer life in the preferred living environment in order to compensate age-related functional limitations.
  15. AAL refers to intelligent systems for a better, healthier and safer life in the preferred living environment in order to compensate age-related functional limitations.
  16. AAL refers to intelligent systems for a better, healthier and safer life in the preferred living environment in order to compensate age-related functional limitations.