This paper presents a system that can automatically recognize four different static human body postures in video sequences. The considered postures are standing, sitting, squattin...
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
Abstract. Extraction of visual descriptors is a crucial problem for stateof-the-art visual information analysis. In this paper, we present a knowledgebased approach for detection o...
Paraskevi K. Tzouveli, Georgios Andreou, Gabriel T...
We proposed a new foreground detection method using the static cameras. It merges multi-modality into graph cut energy function, and performs much better results than conventional...
An automated system is presented for reducing a multi-view lecture recording into a single view video containing a best view summary of active speakers. The system uses skin color...