Stable and Consistent Object Tracking: An Active Vision Approach

Abstract

Active vision plays an important role for many applications using better understanding of our surrounding environments. Using active vision, it is possible to gather new knowledge or changes in the environment by autonomously moving of eyes, and nearly all animals have this routine biological capability including human. In active vision, it is needed to repeatedly move the gaze from one fixation point to another fixation point to obtain high-resolution image and track the object robustly. The main reason to keep gaze still during fixations is the need to avoid the blur that results from the long response time of the photoreceptors. In this paper, we propose an active vision system which is constantly tracking an object by moving its gaze. In our proposed approach, human–eye movement technique, i.e., saccade and smooth pursuit mechanism, has been used to obtain high-resolution image on the sensor and track that particular object in real time.