Tracking of moving objects in a sequence of images is one of the important and functional branches of the machine vision technology. Detection and tracking of a flying object with unknown features are important issues in detecting and tracking objects. The real world often contains moving objects. Hence, natural visual systems sensed and processed a continuous stream of observed scene data, and are less likely to encounter the perception of quite robust images. There is a similar situation in the machine vision. The visual system is often faced with a changing world that needs to be perceived and absorbed by successive images. Among the issues of interest in this regard is the question of tracking the motion of objects in a sequence of images.

Papers:

M. O. a. U. Deniz, "Center of mass model: A novel approach tobackground modeling for segmentation of moving objects," Image Vis.Comput, vol. 25, p. 1365– 1376, Aug. 2007.