Fast face image capture system
A fast face capture system and process for identifying an individual as the individual walks through a designated area is described. A set of raw images is streamed from at least one camera for detecting individuals entering the designated area. The images are searched for a face. If a face is detected, a tracking ID is assigned; and a timer and face tracking is commenced to obtain a sequence of candidate images for each individual as the individual walks through the designated area. A maximum quality image is selected from the sequence of candidate images for each individual based on at least one quality metric, the elapsed time, and the quality select count in the sequence of the candidate images. The maximum quality image is submitted for matching with a verified image of the person. The invention has particular application to security check points for quickly matching the face of the moving person with a previously acquired and verified identity.
1. A face recognition method for identifying individuals based on a maximum quality image of the face of the individual as each individual moves through a designated area, the method comprising:
(a) streaming images from at least one camera for each individual entering the designated area;
(b) face detecting by searching the streamed images for a face until a face of an individual is detected;
(c) face tracking by:
(i) assigning a tracking ID and a quality select count to the individual;
(ii) tracking the face of the individual to obtain at least one candidate image of the face of the individual as the individual moves through the designated area;
(iii) timing the individual during tracking for an elapsed time;
(iv) storing as the maximum quality image the at least one candidate image for face matching if an image quality metric is within a threshold quality range and higher than that of a previously-stored quality image; and
(v) adjusting the quality select count for the individual based on whether the at least one candidate image was stored as the maximum quality image, wherein the quality select count corresponds to a total number of candidate images stored as the maximum quality image; and
(d) maximizing image quality by repeating the face tracking step for each individual if the elapsed time is within a maximum time and the quality select count is within a threshold count range.
2. The method of claim 1 , wherein the step of storing is carried out remotely from the designated area.
3. The method of claim 1 , further comprising, subsequent to the step of maximizing image quality, face matching the maximum quality image with a validated image of the face of the individual.
4. The method of claim 1 , wherein the step of maximizing is based on the quality image count being less than or equal to 5.
5. The method of claim 1 , comprising displaying a live stream of images of the individual being tracked during the tracking step.
6. The method of claim 5 , comprising superimposing graphics on the live stream of images of the individual being tracked to encourage the individual to look at the camera.
7. The method of claim 6 , comprising terminating the tracking step for the individual when the elapsed time is equal to or greater than 2 seconds.
8. The method of claim 7 , further comprising displaying an instruction to enter the designated area until tracking is commenced for a next individual.
9. The method of claim 1 , wherein at least three (3) candidate images are generated during the step of tracking.
10. The method of claim 1 , wherein the quality metric being selected from the group consisting of face size (F s ), Yaw Pitch Roll (YPR), and Laplacian Variance (LV).