In this paper proposes new strategies for object tracking initialization using automatic moving object detection based background subtraction. The new strategies are integrated into the real-time object tracking system. The proposed background model updating technique and adaptive thresholding are used to produce a foreground object mask for object tracking initialization. Traditional backgroun...

In this paper, we propose a technique based on 3D information (also called depth or range) for the detection of humans. First, a background subtraction technique operates to detect the silhouettes of humans and objects moving in the scene. Then, a machine learning algorithm is used to predict if a silhouette annotated with depth matches a human silhouette or not. The complete method is designed...

In this paper we look at how camera networks can be used in the healthcare industry for remote patient monitoring. This type of network would be installed in the home and have the ability to alert officials should an emergency arise. A network of this kind could be of benefit to many, and in particular to the growing number of elderly citizens by helping them to maintain their independent lifes...