Cite as:
Hogervorst M A, Weitenberg A I M, Lucassen M P, 2006, "Analysing the effect of filtering techniques on camera surveillance using eye movement recording" Perception 35 ECVP Abstract Supplement

Analysing the effect of filtering techniques on camera surveillance using eye movement recording

M A Hogervorst, A I M Weitenberg, M P Lucassen

We evaluated the impact of filtering techniques (indicators showing the presence of potential events) on camera surveillance using eye movement recording. Live recordings were made of a square in Utrecht with 12 cameras during 2 hours. The recordings were shown in a control room with 8 monitors while observers could switch between cameras. The subject's tasks were: (i) report the cameras on which designated vehicles appeared, (ii) indicate the presence of cyclists, (iii) indicate changes in the people sitting on a concrete block. In one of the two sessions the subjects were supported by indicators showing the potential presence of vehicle movement, cyclist movement, block change events. We recorded the cycle events, block change events, the cameras on which the designated vehicles were reported, eye movements and camera switches. The results show that filtering has a positive effect on the time the vehicles were fixated, on the performance for indicating on which cameras the vehicles appeared, and on the performance for indicating block-change events. On the other hand, the subjects also followed the indicators in cases where their signals were not in accordance with reality. These findings show that the benefit of filtering in supporting camera surveillance depends on its reliability.

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