System and method of hybrid tracking for match moving
First Claim
1. A video system for maximizing tracking speed of an object in a sequence of images, the system comprising:
- a camera configured to generate a plurality of images as a sequence of images of a video;
an object feature detector configured to detect a plurality of object features in a reference frame;
a feature correspondence determiner configured to determine a number of corresponding object features in at least one image in the sequence of images of the video that match the detected object features in the reference frame; and
a tracking pattern selector configured to select one of a plurality of types of object tracking by comparing a number of the determined corresponding object features to a predetermined object pattern threshold level,wherein the tracking pattern selector selects a first type of object tracking to track the object in the at least one image of the sequence of images when the determined number of corresponding object features does not exceed the predetermined object pattern threshold level to achieve a first tracking object speed of the object,wherein the tracking pattern selector selects a second type of object tracking to track the object in the at least one image of the sequence of images when the determined number of corresponding object features exceeds the predetermined object pattern threshold level to achieve a second tracking object speed of the object,wherein the detected object features in the reference frame comprises a corner pattern of the object,wherein the second type of object tracking comprises corner based tracking of the object,wherein the first type of object tracking comprises template based tracking of the object, andwherein the selecting of the one type of object tracking for each image in the sequence of images of the video by the tracking pattern selector excludes the selected type of object tracking for a previous image in the sequence of images of the video.
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Accused Products
Abstract
A system and method that maximizes tracking speed of an object in a sequence of images by selecting a technique for tracking the object independently for each frame in a video. The system includes an object feature detector that detects object features in a reference frame of the video and a feature comparator that determines a number of object features in each frame in the sequence of images that match the detected object features in the reference frame. Moreover, a tracking pattern selector selects the type of object tracking to track the object in the current frame based on the determined matched object features between the reference frame and the current frame of the video.
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Citations
18 Claims
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1. A video system for maximizing tracking speed of an object in a sequence of images, the system comprising:
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a camera configured to generate a plurality of images as a sequence of images of a video; an object feature detector configured to detect a plurality of object features in a reference frame; a feature correspondence determiner configured to determine a number of corresponding object features in at least one image in the sequence of images of the video that match the detected object features in the reference frame; and a tracking pattern selector configured to select one of a plurality of types of object tracking by comparing a number of the determined corresponding object features to a predetermined object pattern threshold level, wherein the tracking pattern selector selects a first type of object tracking to track the object in the at least one image of the sequence of images when the determined number of corresponding object features does not exceed the predetermined object pattern threshold level to achieve a first tracking object speed of the object, wherein the tracking pattern selector selects a second type of object tracking to track the object in the at least one image of the sequence of images when the determined number of corresponding object features exceeds the predetermined object pattern threshold level to achieve a second tracking object speed of the object, wherein the detected object features in the reference frame comprises a corner pattern of the object, wherein the second type of object tracking comprises corner based tracking of the object, wherein the first type of object tracking comprises template based tracking of the object, and wherein the selecting of the one type of object tracking for each image in the sequence of images of the video by the tracking pattern selector excludes the selected type of object tracking for a previous image in the sequence of images of the video. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A video system for maximizing tracking speed of an object, the system comprising:
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a camera configured to generate an image frame; and an object pattern tracker having a pattern detector configured to detect a pattern feature of an object in the image frame of a video, wherein the object pattern tracker has a detected pattern feature processor configured to determine whether the detected pattern feature of the object exceeds a predetermined object pattern threshold level, wherein the object pattern tracker is configured to apply a first type of video tracking to track the object in the image frame when the detected pattern feature of the object does not exceed the predetermined object pattern threshold level to achieve a first tracking object speed of the object, wherein the object pattern tracker is configured to apply a second type of video tracking to track the object in the image frame when the detected pattern feature of the object exceeds the predetermined object pattern threshold level to achieve a second tracking object speed of the object, and wherein the object pattern tracker applies one of the first and second types of video tracking to track the object in the image frame independently of a selected type of video tracking for a previous image frame in the video. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A video system for maximizing tracking speed of an object in a sequence of images by selecting a tracking type independently for each image frame in a video, the system comprising:
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an object feature detector configured to detect a plurality of object features in a reference frame of the video; a feature comparator configured to determine a number of object features in a current image frame in a sequence of images of the video that match the detected object features in the reference frame; and a tracking pattern selector configured to select one of a plurality of types of object tracking to track an object in the current image frame based on the determined matched object features between the reference frame and the current image frame of the video, wherein the tracking pattern selector is further configured to select the one of the plurality of types of object tracking to track the object by comparing a number of the determined matched object features to a predetermined object pattern threshold level, wherein the tracking pattern selector selects a first type of object tracking of the plurality of types of object tracking when the number of determined matched objects does not exceed the predetermined object pattern threshold level to achieve a first tracking object speed of the object, and wherein the tracking pattern selector selects a second type of object tracking of the plurality of types of object tracking when the number of determined matched objects exceeds the predetermined object pattern threshold level to achieve a second tracking object speed of the object. - View Dependent Claims (14, 15, 16, 17, 18)
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Specification