DETECTING ITEMS LEFT BEHIND IN A VEHICLE

An example operation includes one or more of capturing, by at least one sensor in a vehicle, a static background image of an interior of the vehicle before a passenger enters the vehicle, capturing, by the at least one sensor in the vehicle, a post-departure image of the interior of the vehicle after the passenger exits the vehicle, processing the static background image and the post-departure image through a feature extractor to generate feature maps, merging the feature maps to identify at least one difference between the post-departure image and the static background image, and determining an object left in the interior of the vehicle by analyzing the at least one difference using a classifier to identify a class of the object and a bounding box regressor to determine a position of the object within the vehicle.