Inferring occluded features for fast object detection
We develop an efficient method to recover the occluded features for object detection. The recovery is based on a small number of clusters from the training images. The recovery coefficients are enforced to be sparse by L1-norm. We tailor a fast cascade structure to include the recovery of the occluded features. The proposed method is evaluated on car detection and pedestrian detection.
object detection occlusion speed scanning window boosted cascade