Salient event detection in video surveillance s cenarios. Kenneth Ellingsen Master’s thesis presentations - 05.06.2008. Supervisor: Faouzi Alaya Cheikh, Dr. Tech. Department of Computer Science and Media Technology Gjøvik University College, Norway. Outline. Introduction Abnormal events
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Master’s thesis presentations - 05.06.2008
Supervisor: Faouzi Alaya Cheikh, Dr. Tech.
Department of Computer Science and Media Technology
Gjøvik University College, Norway
accumulate each day.
during the event.
Directional information (x-axis)
Center of mass (x-axis)
Center of mass (y-axis)
search window = 2 x framerate(video)
for each frame
if (numel increase by 1 and numel >= 2)
Area = true when
‘Significant drop in size of first object at current frame’
‘No significant size increase in search window’
‘Second objects size equal to first object size drop’
Center of mass= true when
’Distance between first and second object is less then 2 x Minoraxis’
Ratio = true when
‘Increase for the first object before drop within search window’
‘Highest ratio near point of first objects standstill’
Directional information = true when
‘Find first objects approx. standstill in search window’
‘Check first objects translation history in search window from point
if it of standstill gradually increase until drop is made’
if (all return true)
object drop has occurred
no drop has occurred