This paper proposes a novel method to address the problem of estimating the number of people in surveillance scenes with people gathering and waiting. The proposed method combines...
In this paper we introduce a novel contextual fusion method to improve the detection scores of semantic concepts in images and videos. Our method consists of three phases. For eac...
Abstract. Intestinal contractions are one of the main features for analyzing intestinal motility and detecting different gastrointestinal pathologies. In this paper we propose Eig...
—This paper presents a compressed-domain fall incident detection scheme for intelligent home surveillance applications. For object extraction, global motion parameters are estima...
This paper proposes a hybrid foreground object detection method suitable for the marine surveillance applications. Our approach combines an existing foreground object detection met...
Daniel Socek, Dubravko Culibrk, Oge Marques, Hari ...