The paper aims to predict fixations and saccadic motions of the gaze for human subjects observing still images. A new dataset of eye movements is collected for VOC 2012 Actions images. Two separate sets of eye movements are collected from two groups of subjects given two tasks: (a) recognizing the action and (b) recognizing objects in the background. The consistency of subjects in fixations and eye movements is analyzed, by modeling the gaze as transitions between Gaussian states (Areas of Interest). The prediction of gaze locations is done by training an SVM on HOG features sampled at Areas of Interest for positives and at other random locations for negatives.