In　the　field　of　video　surveillance,　with　the　continuous　development　of　the　Internet　and　artificial　intelligence,　the　related　technology　for　single　device　has　been　very　mature,　but　how　to　accurately　realize　pedestrian　tracing　under　cross-devices　is　still　an　active　research　field.　In　this　paper,　a　multi-granularity　pedestrian　traceability　method　is　proposed,　which　is　based　on　the　attribute　extraction　of　pedestrian　image　and　the　person　re-identification　algorithm　based　on　attention　mechanism　retrieves　the　same　pedestrian　image　cross　a　lot　of　devices.　The　results　show　that　the　video　surveillance　system　has　good　performance,　which　reduces　the　occurrence　of　tracking　loss,　and　the　track　is　visualized　at　the　platform.　©　Published　under　licence　by　IOP　Publishing　Ltd.