Patent ID: 8948454
Filing Date: 2015-02-03
Classification: G06K

Abstract:
1. A method for training a special object detector to distinguish a foreground object appearing in a sequence of frames for a target domain, the sequence of frames depicting motion of the foreground object in a non-uniform background, each frame in the sequence before a last frame in the sequence corresponding to a time earlier than a time to which an immediately next frame in the sequence corresponds, the method comprising: one or more processors of a computer system detecting the foreground object in a high-confidence subwindow of an initial frame of the sequence, wherein the detecting the foreground object comprises computing a measure of confidence that the high-confidence subwindow comprises the foreground object and determining that the measure of confidence exceeds a specified confidence threshold; the one or more processors tracking the foreground object in respective positive subwindows of a plurality of subsequent frames appearing after the initial frame in the sequence of frames, wherein the subsequent frames are within a specified short period of time; the one or more processors feeding the positive subwindows to a learning engine for use in training the special object detector to detect the foreground object in the target domain, wherein the positive subwindows include the subwindow of the initial frame and the respective subwindows of the plurality of subsequent frames, wherein the method further comprises: