An image-based motion-occupancy sensor uses digital signal processing (DSP) techniques to perform algorithms on image data to enable an energy-delivery system, such as a lighting control system, to learn various environmental conditions that would conventionally result in false motion-occupancy detection. Motion of Interest (MOI) is determined by iteratively performing these algorithms and effectively filtering image data associated with non-MOI and making control decisions based only on relevant MOI.