Intelligent Logo and Item Detection in Video

1 . A system comprising:

an image processor system, receiving a video feed, and detecting at least one item in the video feed in a frame of the video feed, by detecting a recognizable part in said at least one item, and following said at least one item across multiple different frames of the video feed.

2 . The system as in claim 1 , wherein said image processor system marks said at least one item with an annotation of a specified type that facilitates a user viewing a location of the recognizable part.

3 . The system as in claim 2 , wherein said recognizable part is a colored box.

4 . The system as in claim 2 , wherein said image processor marks both first and second items in said video feed, where a first item is marked in a first color and the second item is marked in a second color.

5 . The system as in claim 1 , wherein said image processor system includes an object detector that detects said at least one item in the frame, and includes an object movement detector that detects movement of said at least one item, across multiple different frames to continue to track said at least one item when said recognizable part is no longer viewable in a frame.

6 . The system as in claim 5 , further comprising a color filter, that determines a color of said recognizable part, and carries out an initial image reduction so that said object detector reviews only parts of the image that have said color.

7 . The system as in claim 1 , further comprising a user interface which enables a user to specify the recognizable part to be monitored.

8 . The system as in claim 1 , wherein said recognizable part is a part of a uniform on a sports team.

9 . The system as in claim 8 , wherein said recognizable part is a number on a uniform.

10 . The system as in claim 6 , wherein said recognizable part is a part of a uniform of sports team, and said color is a color of the uniform.

11 . The system as in claim 1 , wherein the image processor stores a marking in a library.

12 . A method to provide interactive control of video content of a broadcast, the method comprising:

using an object detector for robust object detection in a video;

based on detecting the object, using object tracking combined with an object detection output from previous frames, to track objects even when they cannot be detected in current frames;

continuously detect and track objects throughout the broadcast and recording these in a library as tracked objects; and

determining a user's request for a specified object, and highlighting an object by using information about a tagged object in the library.

13 . A method for identifying individual team members in a video showing sports, using text of voice commands, the method comprising:

pairing a team member's name with a number for the team member, based on a stored team roster;

identifying the team member via its number on an item of clothing worn by the team member, by using automated object detection on the video and producing output based on said identifying;

using an object tracker to track the team member when the team member 's number is not detectable in the video;

using a color filter based on colors of a uniform of a team of the team member to restrict an area of said automated object detection.

14 . The method as in claim 13 , wherein the object of clothing is one of a team jersey, helmet, or a hat.

15 . The method as in claim 13 , wherein the output that is produced is highlighting of an area of the team member in the video.

16 . The method as in claim 13 , wherein the output that is produced is an entry in a library that can be later read based on information requested by a user.