Emerging multimedia applications have increased the need for video quality measurement. Motion is critical to this task, but is complicated owing to a variety of object movements ...
Kwanghyun Lee, Jincheol Park, Sanghoon Lee, Alan C...
In this paper we present a new method, time-striding hidden Markov model (TSHMM), to learn from long-term motion for atomic behaviors and the statistical dependencies among them. T...
Radio-frequency catheter ablation of the pulmonary veins attached to the left atrium is usually carried out under fluoroscopy guidance. Two-dimensional X-ray navigation may involv...
Alexander Brost, Rui Liao, Joachim Hornegger, Norb...
— Learning parameters of a motion model is an important challenge for autonomous robots. We address the particular instance of parameter learning when tracking motions with a swi...
This paper proposes a novel Texture Pattern Flow (TPF) for complex background modeling and motion detection. The Pattern Flow is proposed to encode the binary pattern changes amon...