The proliferation of CCTV surveillance systems creates a problem of how to effectively navigate and search the resulting video archive, in a variety of security scenarios. We are concerned here with a situation where a searcher must locate all occurrences of a given person or object within a specified timeframe and with constraints on which camera(s) footage is valid to search. Conventional approaches based on browsing time/camera based combinations are inadequate. We advocate using automatically detected video objects as a basis for search, linking and browsing. In this paper we present a system under development based on users interacting with detected video objects. We outline the suite of technologies needed to achieve such a system and for each we describe where we are in terms of realizing those technologies. We also present a system interface to this system, designed with user needs and user tasks in mind.
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Dublin City University ->
Publication Type = Conference or Workshop Item
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Dublin City University ->
Subject = Computer Science
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Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres: Centre for Digital Video Processing (CDVP)
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Dublin City University ->
Status = Published
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Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres: Adaptive Information Cluster (AIC)
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Dublin City University ->
Subject = Computer Science: Information retrieval
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Dublin City University ->
Subject = Computer Science: Digital video
Ireland ->
Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres
Noel Murphy,
Noel E. O'Connor,
Alan F. Smeaton,
Hyowon Lee