Abstract: Systems and methods are provided for detecting and tracking objects. A first set of observations for a plurality of locations includes a probability that a value associated with the location is consistent with local background. A second set of observations includes a probability that the value associated with the location is not consistent with local background. A first probability tensor representing probabilities for each of a plurality of states for each of the plurality of locations is generated from the first and second sets of observations. The first probability tensor is updated according to a second probability tensor representing the probabilities for each of the plurality of states in a previous time step. It is determined that a target is present in the region of interest when a posterior probability meets a threshold value.

Abstract: Systems and methods herein provide for improving visibility in a scene. In one embodiment, a system includes a first camera device operable to capture images of a scene at a first band of wavelengths, and a second camera device operable to capture images of the scene at a second band of wavelengths. The first and second bands are different. The system also includes a processor communicatively coupled to the first and second camera devices, the processor being operable to detect an object in the scene based on a first of the images from the first camera device and based on a first of the images from the second camera device that was captured at substantially a same time as the first image from the first camera device, to estimate an obscurant in the scene based on the first images, and to estimate a visibility parameter of the scene based on the object and the estimated obscurant.