A new feature descriptor is presented for object and scene recognition. The new approach, called CDIKP, uniquely combines the scale-invariant feature detection with a robust proje...
The covariance region descriptor recently proposed in [1] has been proved robust and versatile for a modest computational cost. The covariance matrix enables efficient fusion of d...
We present a compact representation for human action recognition in videos using line and optical flow histograms. We introduce a new shape descriptor based on the distribution of...
Nazli Ikizler, Pinar Duygulu, Ramazan Gokberk Cinb...
Recently, there is a growing interest in automatic recognition of human motion for applications, such as humanoid robots, human activity monitoring, and surveillance. In this pape...
This paper presents a new adaptive approach for document image binarization. The proposed method is mainly based on the combination of several stateof-the-art binarization methodo...
Basilios Gatos, Ioannis Pratikakis, Stavros J. Per...
We introduce a novel wire detection algorithm for use in low altitude urban aircraft reconnaissance. A line profile model is described and effectively used to discriminate wires f...
This work reports a preliminary study on the vulnerability evaluation of fingerprint verification systems to direct attacks carried out with fake fingertips created from minutiae ...
Alessandra Lumini, Davide Maltoni, Javier Galbally...
Enormous accessible broadcast soccer videos demand an efficient ball and player trajectory extraction framework to represent the tactic semantics for the automatic analysis. Camer...
Head pose estimation has many useful applications in practice. How to estimate the head pose automatically and robustly is still a challenging problem. In pose estimation, differe...
Charles R. Dyer, Guodong Guo, Thomas S. Huang, Yun...
We propose textural features, which are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture an...