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

摘要

A method for removing false foreground image content in a foreground detection process performed on a video sequence includes, for each current frame, comparing a feature value of each current pixel against a feature value of a corresponding pixel in a background model. The each current pixel is classified as belonging to one of a candidate foreground image and a background based on the comparing. A first classification image representing the candidate foreground image is generated using the current pixels classified as belonging to the candidate foreground image. The each pixel in the first classification image is classified as belonging to one of a foreground image and a false foreground image using a previously trained classifier. A modified classification image is generated for representing the foreground image using the pixels classified as belonging to the foreground image while the pixels classified as belonging to the false foreground image are removed.

主权项

1. A method for removing false foreground image content in a foreground detection process performed on a video sequence, the method comprising:
receiving video data from a sequence of frames taken from an associated image capture device monitoring a scene of interest; for a current frame, comparing 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; classifying the each current pixel as belonging to one of a candidate foreground image and a background based on the comparing; generating a first classification image representing the candidate foreground image using current pixels classified as belonging to the candidate foreground image; applying 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; generating a coarse scale classification image based on the binary decision of the each pixel block; generating a modified classification image representing the foreground image by removing redundant pixels between the coarse scale classification image and the first classification image.