Multi-pose fac tracking using multiple appearance models
AssigneeHoneywell International Inc.
InventorsGurumurthy Swaminathan, Vijendran G. Venkoparao, Rudra N. Hota, Saad J. Bedros, Michal Juza
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Abstract
A system and method are provided for tracking a face moving through multiple frames of a video sequence. A predicted position of a face in a video frame is obtained. Similarity matching for both a color model and an edge model are performed to derive correlation values for each about the predicted position. The correlation values are then combined to determine a best position and scale match to track a face in the video.
Claims20
A computer implemented method of tracking a face moving through multiple frames of a video sequence, the method comprising:
- obtaining a predicted position of a face in a video frame;
- performing a search to determine color model similarity values around the predicted position of the face in the video frame;
- performing a search to determine edge model similarity values around the predicted position of the face in the video frame;
- combining the color model similarity values with the edge model similarity values to determine a best match to track a face in the video.
A computer readable medium having instructions for execution on a computer to perform a method of tracking a face moving through multiple frames of a video, the method comprising:
- obtaining a predicted position of a face in a video frame;
- performing a search to determine color model similarity values around the predicted position of the face in the video frame;
- performing a search to determine edge model similarity values around the predicted position of the face in the video frame;
- combining the color model similarity values with the edge model similarity values to determine a best match to track a face in the video.
A tracker for tracking faces in surveillance video frames, the tracker comprising:
- a position predictor that provides a predicted position of a face in a video frame;
- a color model that provides color model similarity values around the predicted position of the face;
- an edge model that provides edge model similarity values around the predicted position of the face;
- and
- means for combining the color model similarity values with the edge model similarity values to determine a best match around the predicted position to track a face in the video.
Dependencies are inferred from the claim text.