Abstract

Abstract. An ‘elephant in the room ’ for most current object detec-tion and localization methods is the lack of explicit modelling of partial visibility due to occlusion by other objects or truncation by the image boundary. Based on a sliding window approach, we propose a detection method which explicitly models partial visibility by treating it as a latent variable. A novel non-maximum suppression scheme is proposed which takes into account the inferred partial visibility of objects while provid-ing a globally optimal solution. The method gives more detailed scene interpretations than conventional detectors in that we are able to iden-tify the visible parts of an object. We report improved average precision on the PASCAL VOC 2010 dataset compared to a baseline detector. 1