A COMPUTER ASSISTED METHOD FOR DETERMINING TRAINING IMAGES FOR AN IMAGE RECOGNITION ALGORITHM FROM A VIDEO SEQUENCE

摘要

In summary, the invention relates to a method for computer-implemented recognition and/or recognition of at least one object (Obj_i, i=1,_…,n) in an image (P_i, I=1,_…,n). Preferably, image sections (ROI) are determined by a user (U) and/or an image-recognition algorithm (KI). The determined image sections (ROI) are preferably collected and/or displayed in a gallery (G). The gallery (G) shows the image sections (ROI), whereby, the respective image section (ROI) is a section of the respective image (P_i), where an object (Obj_i) is shown or at least assumed. Verification of the appearance of an object (Obj_i) in the respective image section (ROI) is performed by a user (U) and/or an image-recognition algorithm (KI), by using the representation of the gallery (G). Image sections (ROI), not comprising the assumed object (Obj_i) are detected and preferably eliminated. The position and/or the size of the respective image section (ROI) and optionally other attributes (A1, A2, A3) of the respective object (Obj_i) are provided by the output information (D). The output information (D) is preferably a text file which can be assigned to the at least one image (P_i).