We propose an online anomal movement detection method using incremental unsupervised learning. As the feature for discrimination, we extract the principal component of the spatio-...
— This paper examines large partial occlusions in an image, which occur near depth discontinuities when the foreground object is severely out of focus. We model these partial occ...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi
Abstract. As part of an architectural modeling project, this paper investigates the problem of understanding and manipulating images of buildings. Our primary motivation is to auto...
A problem of detecting changes in a region viewed by multiple overlapping cameras is addressed. We are exploring a background change detection method of multilayered orthoimages u...
We present a system and a set of tools for producing special effects in film/video making by applying image processing and human centered computing techniques. A combination of s...
Chun-Hao Wang, Yongjin Wang, Meifeng Lian, Bruce E...