1. A method of detecting objects from video images based on deep learning processing, the method comprising: learning a baseline pattern from baseline scores obtained using the deep learning processing, the baseline pattern comprising feature vectors; and autonomously detecting a change due to movement within a field of view using the deep learning processing based on a difference between the baseline scores and classification scores of a plurality of subsequent video frames, the detected change increasing or lowering the classification score.