1. A method for detecting and tracking a target, comprising: detecting the target using a plurality of feature cues; fusing the plurality of feature cues to form a set of target hypotheses; tracking the target based on the set of target hypotheses and a scene context analysis; and updating the tracking of the target based on a target motion model; wherein fusing the plurality of feature cues to form a set of target hypotheses comprises fusing a first output from a first detector with a second output from a second detector, wherein the first and second outputs are of different types and the first detector operates on the output of the second detector; and wherein the tracking compensates for a motion of a radiation source tracked by a radiation imaging device.
1. A method for detecting and tracking a target, comprising: detecting the target using a plurality of feature cues; fusing the plurality of feature cues to form a set of target hypotheses; tracking the target based on the set of target hypotheses and a scene context analysis; and updating the tracking of the target based on a target motion model; wherein fusing the plurality of feature cues to form a set of target hypotheses comprises fusing a first output from a first detector with a second output from a second detector, wherein the first and second outputs are of different types and the first detector operates on the output of the second detector; and wherein the tracking compensates for a motion of a radiation source tracked by a radiation imaging device. 2. The method of claim 1 , wherein the plurality of feature cues is generated by at least a first detector of a first type and a second detector of a second type, wherein the first and second types are different.