Context based object categorization: A critical survey

Carolina Galleguillos, Serge Belongie
2010 Computer Vision and Image Understanding  
The goal of object categorization is to locate and identify instances of an object category within an image. Recognizing an object in an image is difficult when images present occlusion, poor quality, noise or background clutter, and this task becomes even more challenging when many objects are present in the same scene. Several models for object categorization use appearance and context information from objects to improve recognition accuracy. Appearance information, based on visual cues, can
more » ... uccessfully identify object classes up to a certain extent. Context information, based on the interaction among objects in the scene or global scene statistics, can help successfully disambiguate appearance inputs in recognition tasks. In this work we review different ways of using contextual information in the field of object categorization and discuss scalability, optimizations and possible future approaches.
doi:10.1016/j.cviu.2010.02.004 fatcat:3ee2st4tffbnplewyrq5o4i5rm