Contents 1. Introduction
Vision and tracking systems have gained increasing attention both in robotics and control communities. Many researchers focused on the development of innovative tracking systems, surveillance, inspection, monitoring, and automatic mobile robot navigation [1], [2]. The visual servo system involves the design of a visual tracking algorithm, which continuously senses the positions of path features from the vision measurements, and the design of a visual servo controller based on the sensed path positions. In [3], a safe navigation of a visual tracking system was developed for mobile robot on two dimensional plane, using the sequence of images from a visibility of environment, while in [4], the use the aerial images and GPS for mobile robot waypoint navigation was proposed. Other researchers focused on developing code for visual data analysis and/or optimising this code to fit a particular need, e.g. object tracking, obstacles avoidance, distance estimation, and navigation. In [5], the authors proposed a distributed active-vision network-space approach for the navigation of a car-like wheeled robot. In [6], the authors proposed a theory of phase singularities for image representation and its applications to object tracking and image matching, or by selection an appropriate color space for skin detection [8]. In [9], the implementation of trajectory tracking control was proposed for a nonholonomic wheeled mobile robots based on fuzzy controller with a tilt camera to overcome uncertainties of system model, velocity quantization, and occlusion.
