Abstract: Techniques are provided for tracking different types of subjects and labeling the tracks according to subject type. In an implementation, the tracking includes tracking first and second subject types using video, and also tracking subjects of the first type using Wi-Fi tags provided to the subjects of the first type. The video and Wi-Fi tracks can be compared in order to identify and label which video tracks are associated with subjects of the first type and which video tracks are associated with subjects of the second type. Upon the tracks having been labeled, interactions between the different subject types can be identified and analyzed.