Shadow detection for improved object tracking in surveillance cameras
Object tracking algorithms and motion triggered alarms are often dis- turbed by shadows. It is challenging to separate between moving objects and shadows since they have similar movement patterns and image prop- erties. In this thesis, three different approaches to detect shadows are developed and evaluated. The identified shadows determine what parts of the image not to track and what alarms to i
