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On Using Gait Biometrics for Re-Identification in Automated Visual Surveillance
Abstract
As surveillance becomes ubiquitous in such modern society due to the immense increase of crimes and the rise of terrorism activities, various government and military funded projects are devoted to research institutions to work on improving surveillance technology for the safety of their citizens. Because of the rapid growth of security cameras and impossibility of manpower to supervise them, the integration of biometric technologies into surveillance systems would be a critical factor for the automation of identity tracking over distributed cameras with disjoint views i.e. Re-Identification. The interest of using gait biometrics to re-identify people over networks of cameras emerges from the fact that the gait pattern can be captured and perceived at a distance as well as its non-invasive and less-intrusive nature.
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