This paper describes an optical flow-based person tracking method using multiple cameras in indoor environments. There are usually several objects in indoor environments which may obstruct a camera view. If we use only one camera, tracking may fail when the target person is occluded by other objects. This problem can be solved by using multiple cameras. In our method, each camera tracks the tar...

The final report that summarizes the work performed at University of South Alabama (USA). Four different target tracking algorithms and two data fusion algorithms have been developed for single/multiple target detection and tracking purposes. Each tracking algorithm utilizes various properties of targets and image frames of a given sequence. The data fusion algorithms employ complementary featu...

Energy efficient multiple-target tracking is an important application of Wireless Sensor Networks (WSNs). Most prior studies consider tracking multiple targets as an extension of executing a single target tracking algorithm multiple times, and use a single parameter for energy efficiency. We consider various factors such as multiple targets tracked by the sensor, remaining energy of the sensor ...