IFT developed a hard (video) and soft (text, voice chat) information fusion approach to automatically generate videos with annotation that can be easily used by future human or machine users. The tracking results following the standard format (.kw18)  output in a separate file for interfacing with other modules. In the implementation, each entity corresponds to one tracklet with a unique track ID. Each entity consists of two sets of attributes: common attributes and uncommon attributes. Common attributes are those which will not change over the lifetime of a target track like type and color of the target. Uncommon attributes are those changing over time like target location, direction, and activity. The same sets of attribute definitions are used for entities constructed from both hard and soft data. The association, linkage, fusion, and concatenation can improve the visual tracking results through multi-intelligence information fusion.