Segmentation in the surveillance domain has to deal with shadows to avoid distortions when detecting moving objects. Most segmentation approaches dealing with shadow detection are ...
Ivan Huerta, Michael Holte, Thomas Moeslund, and J...
Sven Wachsmuth received the Diploma in computer science from the University of Bielefeld, Germany, in 1997 and the Ph.D. degree (Dr.-Ing.) also in computer science from Bielefeld U...
Graph-based semi-supervised learning has gained considerable
interests in the past several years thanks to its effectiveness
in combining labeled and unlabeled data through
labe...
Dr. Cheng is a Postdoctoral at Computer Science School, Carnegie Mellon University, USA . Before this, he was an associate Professor of Xi'an Jiaotong University. He received...
Shape correspondence, which aims at accurately identifying corresponding landmarks from a given population of shape instances, is a very challenging step in constructing a statisti...
Pahal Dalal, Lili Ju, Michael McLaughlin, Xiangron...
Images taken from different views of a planar object are
related by planar homography. Recovering the parameters
of such transformations is a fundamental problem in computer
vis...
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Camera networks have gained increased importance in
recent years. Previous approaches mostly used point correspondences
between different camera views to calibrate
such systems....