Height measurement as a session-based biometric for people matching across disjoint camera views
A surveillance session can he defined as the period between an individual's entrance into a surveillance system.and their exit. Utilising this framework enables personal features, such as clothing and height estimates, tobecome invariant for the duration of the surveillance session. These can then be used as session-based biometricstor matching an individual uniquely as they move throughout the surveillance system, which may includesignificantly disjoint cameras. By utilising a hierarchy of biometrics to match individuals one can improve thespeed of the overall matching. This eliminate's unlikely matches quickly bv using biometrics that arc fast tocalculate first. This paper proposes height estimation as an example of such a session-based biometric that wouldbe used earlier in the hierarchy. It demonstrates how statistical height analysis can be quickly calculated as oneof the session-based biometric components used to match the tracks of the same individual through imagesequences taken by two disjoint camera views in the same surveillance session.
|Year of publication:||
|Authors:||Madden Christopher ; Piccardi Massimo|
|Other Persons:||McCane, B (contributor)|
|Type of publication:||Other|
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