Abstract: Described herein are passive systems and methods for ranging objects. The systems and methods are passive in that they do not rely on transmission of radiation (whether radiofrequency, visible, infrared, ultraviolet, acoustic, etc.) to determine range. The systems and methods described herein may be used both in civilian and military applications. The present techniques allow users to determine range to moving targets, which is notoriously difficult to estimate using the human eye. The present techniques perform ranging to a target using artificial intelligence models, including object segmentation and pose estimation. Object segmentation may involve determining a dimension (e.g., height) of a specified target in an image, in terms of pixels. If there are multiple objects in the scene, range estimates may be calculated using object segmentation for each object. Pose estimation involves a machine learning technique that identifies sets of coordinates corresponding to joint keypoints.