Feature- and classifier-based vehicle headlight/shadow removal in video

A system for removing false foreground image content in a video sequence, the system comprising a false foreground image detection device including a memory and a processor in communication with the processor configured to:

• receive video data from a sequence of frames taken from an associated image capture device monitoring a scene of interest;
• for a current frame, compare a current feature value of each current pixel against a feature value of a corresponding pixel in a background model of the scene of interest;
• classify the each current pixel as belonging to one of a candidate foreground image and a background based on the comparing;
• generate a first classification image representing the candidate foreground image using current pixels classified as belonging to the candidate foreground image;
• apply the first classification image to a previously trained classifier in a block-wise manner to generate a binary decision for each pixel-block of the first classification image;
• generate a coarse scale classification image based on the binary decision of the each pixel block;
• and,
• generate a modified classification image representing the foreground image by removing redundant pixels between the coarse scale classification image and the first classification image.