1. A method comprising: generating a set of candidate objects based at least in part on a set of image data, wherein the set of image data includes image data from a set of frames captured by each image source of a plurality of image sources; generating a set of visual signatures, wherein each of the visual signatures in the set of visual signatures characterizes a candidate object in the set of candidate objects; generating, based on the set of visual signatures, a correspondence matrix of similarity scores between each candidate object of each frame of each image source and candidate objects of each of the other frames of each of the other image sources; and transforming at least two candidate objects in the set of candidate objects into a single object according to a determination that a similarity score from the correspondence matrix, between the at least two candidate objects, exceeds a threshold score.
1. A method comprising: generating a set of candidate objects based at least in part on a set of image data, wherein the set of image data includes image data from a set of frames captured by each image source of a plurality of image sources; generating a set of visual signatures, wherein each of the visual signatures in the set of visual signatures characterizes a candidate object in the set of candidate objects; generating, based on the set of visual signatures, a correspondence matrix of similarity scores between each candidate object of each frame of each image source and candidate objects of each of the other frames of each of the other image sources; and transforming at least two candidate objects in the set of candidate objects into a single object according to a determination that a similarity score from the correspondence matrix, between the at least two candidate objects, exceeds a threshold score. 7. The method of claim 1 , wherein a first one of the at least two candidate objects corresponds to image data from a first one of the plurality of image sources captured in a first frame at a first time, and a second one of the at least two candidate objects corresponds to image data from the first one of the plurality of image sources captured in a second frame at a second time.