Classification of Image Processing Systems

Using vision systems and image processing for detecting and tracking objects in the natural environment، we faced with high complexity. The most important of these challenges include: occlusion the target object، color stability، multi-object tracking from monocular vision، noise in images، the complex object and scene brightness changes. In recent years، many efforts have been to improve systems to detect and track objects under different conditions. In this paper، we review the most important research، which are classified according to the type of activity. Also، we show advantages and disadvantages of each mentioned category، and we suggest some ways of stability of these methods.