Dim point targets detection in highly cluttered backgrounds is a challenging problem. In this paper we describe the development and the implementation of a new effective methodology to detect moving point targets in infrared or visual images. The new approach is based on mathematical morphology and motion analysis. First, the image is filtered by means of gray-scale morphology in order to reject background objects. Then, with the residual image a motion analysis based on trajectory conjunction is carried out to extract the potential point like moving targets. In the motion analysis stage we define a function to describe the characteristics of moving targets, and by this means a strategy is constructed to judge whether or not a given area contains the potential moving target. Through motion analysis, the non-target points are kicked out while the true target points are detected out after merely several frames of image. This approach doesn’t depend on threshold techniques and requires no assumptions about the behavior of the target motion. The only limitation is that the target’s speed doesn’t exceed several pixels per frame. A test study based on available database is presented and the results so far indicate that this approach to detect moving point target is highly effective.