Detecting Moving Pedestrians and Vehicles in Fluctuating Lighting Conditions
نویسندگان
چکیده
Detecting moving pedestrians and vehicles with foreground segmentation algorithms is problematic during fluctuating lighting conditions. Edge-based approaches are more robust to lighting than the conventional intensity-based ones. The issue with edge-based approaches though is segmenting the internal foreground areas. In this work a strategy is developed to detect complete foreground areas. Firstly, edge-extraction is performed at multiplescales which increases the initial area detected. To complete the detection of object areas, edgemotion-history-images are introduced. The final segmentation is achieved with a region growing algorithm in the edge-motion-history-image. Examples are shown of the successful extraction of foreground objects through changing lighting conditions.
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