In this paper, we give a probabilistic model for automatic change detection on airborne images taken with moving cameras. To ensure robustness, we adopt an unsupervised coarse mat...
Csaba Benedek, Tamas Sziranyi, Zoltan Kato, and Jo...
In this paper we introduce and exploit the concept of contextual rules in the field of object detection. These rules are defined as associations between different object likelihoo...
Abstract – We present a method for quickly determining the minimum distance between multiple known and multiple unkown objects within a camera image. Known objects are objects wi...
This paper describes the preliminary work of image separation between natural and artificial objects using fractal dimensions by noting that most of natural images have non-intege...
Object class detection in scenes of realistic complexity remains a challenging task in computer vision. Most recent approaches focus on a single and general model for object class...