Object tracking and best shot detection system
A method and system using face tracking and object tracking is disclosed. The method and system use face tracking, location, and/or recognition to enhance object tracking, and use object tracking and/or location to enhance face tracking.
1. A method comprising:
using an object tracking process to track an object corresponding to a target during a time period;
capturing a first face image of the object at a first time during the time period;
storing the first face image of the object at a computer system, and associating the first face image with the target;
capturing a second face image at a second time during the time period, the second face image corresponding in space with the tracked object;
comparing the second face image to the first face image to determine whether the second face image and the first face image correspond to the same target; and
when the second face image and first face image are determined to not correspond to the same target, logging a tracking error and at least temporarily ending a tracking of the object.
2. The method as claimed in claim 1 wherein the first face image is a best face image captured during the time period, which best face image is automatically determined to be the best face image from a group of images.
3. A system comprising:
one or more cameras; and
a computer system including one or more computer readable storage media configured to:
use an object tracking process to track an object during a time period, the object captured by the one or more cameras;
store a first face image of the object, the first face image captured by the one or more cameras at a first time during the time period;
associate the first face image with a target;
receive a second face image captured by the one or more cameras at a second time during the time period, the second face image corresponding in space with the tracked object;
compare the second face image to the first face image to determine whether the second face image and the first face image correspond to the same target; and
when the second face image and first face image are determined to not correspond to the same target, log a tracking error and at least temporarily end a tracking of the object.
4. The system as claimed in claim 3 wherein the first face image is a best face image captured during the time period, which best face image is automatically determined to be the best face image from a group of images.
5. The system as claimed in claim 3 , wherein the computer system includes a digital video recorder (DVR).
6. The system as claimed in claim 3 , wherein the computer system includes a network video recorder (NVR).
7. The system as claimed in claim 3 , wherein the one or more cameras are digital cameras.
8. The system as claimed in claim 3 , wherein the object is a person.
9. The system as claimed in claim 3 , wherein the logging of the tracking error comprises adding an entry to a series of entries stored within the computer system.
10. The system as claimed in claim 9 , wherein each entry of the series of entries includes a date and time stamp.
11. The method as claimed in claim 1 , wherein the computer system includes a digital video recorder (DVR).
12. The method as claimed in claim 1 , wherein the computer system includes a network video recorder (NVR).
13. The method as claimed in claim 1 , wherein the object is a person.
14. The method as claimed in claim 1 , wherein the logging of the tracking error comprises adding an entry to a series of entries stored within the computer system.
15. The method as claimed in claim 14 , wherein each entry of the series of entries includes a date and time stamp.