In this paper, we report a robust, efficient, and automatic method for matching infrared tracked markers for human motion analysis in computer-aided physical therapy applications. ...
Gregory Johnson, Nianhua Xie, Jill Slaboda, Y. Jus...
This paper presents an approach to multi-sensory and multi-modal fusion in which computer vision information obtained from calibrated cameras is integrated with a large-scale sent...
Abstract. Visual detection and tracking of humans in complex scenes is a challenging problem with a wide range of applications, for example surveillance and human-computer interact...
ZhenQiu Zhang, Gerasimos Potamianos, Andrew W. Sen...
In this paper, we describe a fully automatic video retrieval prototype system that uses an image or a video sequence of an interested identity as probe. The system is based on fac...
We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the number of tracks, as ...