Access controls for privacy protection in pervasive environments
Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments
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Real-timeobjecttracking,featureassessmentand classification based on video are an enablingtechnology forimproving situation awareness of human operators as well as for automated recognition of critical situations. To bridgethegapbetweenvideosignal-processingoutput andspatio-temporalanalysisofobjectbehavioratthe semanticlevel,agenericandsensor-independentobject representation is necessary. However, in the case of public andcorporatevideosurveillance,centralizedstorageof aggregateddataleadstoprivacyviolations.Thisarticle explainshowacentralizedobjectrepresentation, complying withtheFairInformationPracticePrinciples (FIP) privacy constraints, can be implemented for a video surveillance system.