In this paper, we propose a system identification approach for group activity recognition in traffic surveillance. Statistical shape theory is used to extract features, and then...
We present a new algorithm that provides an efficient localization method of elliptic industrial objects. Our proposed feature extraction inherits edge grouping approaches. But ins...
: A framework for underwater navigation by combining raw information from different sensors into a single scene description is presented. It is shown that features extracted from s...
Somajyoti Majumder, Julio Rosenblatt, Steve Schedi...
Various text mining algorithms require the process of feature selection. High-level semantically rich features, such as figurative language uses, speech errors etc., are very prom...
Recently, we proposed a novel facial representation for face recognition based on Local Binary Pattern (LBP) features. We obtained excellent results when dividing the face images ...