Target cueing is commonly performed using only spatial properties of images. However, image degradations and complexities, such as low resolution, low contrast, cluttered background, and noise, can result in insufficient spatial information to achieve meaningful cueing. Fortunately, in many situations, primarily when targets are moving with respect to background, temporal cueing can be performed instead of (or in addition to) spatial cueing. In general, the imaging sensor can be moving, which induces apparent scene background motion, greatly complicating the detection of target motion. We will discuss a technique that detects independent motion of objects, even in the presence of induced background motion, and can subsequently cue targets successfully in the absence of adequate spatial information. We start by calculating the optical flow field that describes image motion between successive frames in an image sequence. Issues concerning the rapid calculation of optical flow and implementation on high speed pipe-lined architecture will be discussed. The optical flow field is used to register the backgrounds in the two scenes but does not affect independent motion of small regions within the images. The registered images are compared and moving objects are distinguished by spatial differences between the registered images. The final stage of the cueing process applies both intensity and size discrimination to the result of the registered image comparison. We have successfully demonstrated our independent motion cueing algorithm on real, cluttered images and will present some of our results.