According to an embodiment of the present invention, a time alignment calibration method comprises the following steps of: acquiring an event stream and video images of a target object simultaneously captured by each of a dynamic vision sensor and an assistant vision sensor; determining a key frame reflecting obvious movement of the target object from the video images; individually mapping effective pixel positions of the target object in the key frame and effective pixel positions of the target object in frames adjacent to the key frame to an imaging plane of the dynamic vision sensor according to a spatial relative relation between the dynamic vision sensor and the assistant vision sensor and forming a plurality of target object templates; determining a first target object template covering events in a first event stream segment from the plurality of target object templates; and using a time alignment relation between an intermediate instant of the first event stream segment and a timestamp of the frame corresponding to the first target object template as the time alignment relation between the dynamic vision sensor and the assistant vision sensor. In using a plurality of vision sensors, the present invention can accurately detect movement of the target object in consideration of a relative position and a relative time deviation of the vision sensors.
/ METHOD AND SYSTEM FOR TIME ALIGNMENT CALIBRATION EVENT ANNOTATION AND/OR DATABASE GENERATION