DYNAMIC GESTURE RECOGNITION PROCESS AND AUTHORING SYSTEM
Gesture recognition is performed by receiving a video frame from a camera, drawing a scribble pointing out one element within the video frame, tracking the scribble across subsequent frames by propagating the scribble on the remainder of the video, aggregating related scribbles determined by tracking the scribble, attaching a tag to the aggregated related scribbles to form a gesture model, and comparing a current scribble with the stored gesture model.
1 . (canceled)
2 . The method of claim 12 , wherein propagating the scribble comprises estimating future positions of the scribble on a next frame based on information extracted from a previous frame.
3 . The method of claim 2 , wherein the information extracted from the previous frame comprises chromatic and spatial information.
4 . The method of claim 3 , wherein a color distance transform is calculated at a plurality of points in the previous frame.
5 . The method of claim 4 , wherein the color distance transform is computed with reference to two dimensions of the previous frame and a third dimension derived from time.
6 . The method of claim 4 , wherein a skeleton is extracted from the color distance transform.
7 . The method of claim 6 , wherein prior to extracting the skeleton, the previous frame is first convolved in the horizontal and vertical directions with a two dimensional Gaussian mask, and the skeleton is therafter extracted by extracting maxima of the convolved previous frame in the horizontal and vertical directions.
8 . The method of claim 12 , further comprising querying a rule database and triggering at least one action associated with the tag.
9 . (canceled)
10 . The apparatus of claim 13 , wherein the model matcher queries the rule database for triggering the at least one action associated with the tag.
11 . (canceled)
12 . A method for performing gesture recognition, comprising the steps of:
receiving at least a first frame;
drawing at least one scribble pointing out one element within the first frame;
tracking the scribble by propagating the scribble on at least one other frame to determine related scribbles;
aggregating related scribbles;
attaching a tag to the aggregated related scribbles to form a gesture model; and
comparing a current scribble with the gesture model.
13 . An apparatus for performing gesture recognition, comprising:
a scribble drawer for drawing at least one scribble pointing out one element within a frame;
a scribble propagator for tracking the scribble across at least one other frame by propagating the scribble on the at least other frame to determine related scribbles;
a gesture model maker for aggregating related scribbles to form a gesture model;
a gesture model repository storing the gesture model together with at least one tag associated with the gesture model;
a rule database containing a link between at least one action and the tag; and
a model matcher for comparing a current frame scribble with the gesture model.
14 . A digital storage medium encoding a machine-executable program of instructions to perform a method, the method comprising the steps of:
receiving at least a first frame;
drawing at least one scribble pointing out one element within the first frame;
tracking the scribble by propagating the scribble on at least one other frame to determine related scribbles;
aggregating related scribbles;
attaching a tag to the aggregated related scribbles to form a gesture model; and
comparing a current scribble with the gesture model.
15 . The digital storage medium of claim 14 , wherein propagating the scribble comprises estimating future positions of the scribble on a next frame based on information extracted from a previous frame.
16 . The digital storage medium of claim 15 , wherein the information extracted from the previous frame comprises chromatic and spatial information.
17 . The digital storage medium of claim 16 , wherein a color distance transform is calculated at a plurality of points in the previous frame.
18 . The digital storage medium of claim 17 , wherein the color distance transform is computed with reference to two dimensions of the previous frame and a third dimension derived from time.
19 . The digital storage medium of claim 17 , wherein a skeleton is extracted from the color distance transform.
20 . The digital storage medium of claim 19 , wherein prior to extracting the skeleton, the previous frame is first convolved in the horizontal and vertical directions with a two dimensional Gaussian mask, and the skeleton is therafter extracted by extracting maxima of the convolved previous frame in the horizontal and vertical directions.
21 . The digital storage medium of claim 14 , further comprising querying a rule database and triggering at least one action associated with the tag.