SYSTEM AND METHOD FOR USING APPARENT SIZE AND ORIENTATION OF AN OBJECT TO IMPROVE VIDEO-BASED TRACKING IN REGULARIZED ENVIRONMENTS
First Claim
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1. A method for optimizing video-based tracking of an object of interest, comprising:
- acquiring a video of a regularized motion environment comprising a plurality of video frames;
detecting an initial instance of at least one object of interest in the plurality of video frames including a location thereof;
determining an expected size and an expected orientation of the at least one object of interest as a function of the location; and
localizing the at least one object of interest in at least one subsequent video frame responsive to the determined size and orientation,wherein at least one of the acquiring, detecting, generating, determining, and localizing is performed by a computer processor.
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Abstract
A system and method for optimizing video-based tracking of an object of interest are provided. A video of a regularized motion environment that comprise multiple video frames is acquired and an initial instance of an object of interest in one of the frames is then detected. An expected size and orientation of the object of interest as a function of the location of the object is then determined. The location of the object of interest is then determined in a next subsequent frame using the expected size and orientation of the object of interest.
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Citations
20 Claims
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1. A method for optimizing video-based tracking of an object of interest, comprising:
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acquiring a video of a regularized motion environment comprising a plurality of video frames; detecting an initial instance of at least one object of interest in the plurality of video frames including a location thereof; determining an expected size and an expected orientation of the at least one object of interest as a function of the location; and localizing the at least one object of interest in at least one subsequent video frame responsive to the determined size and orientation, wherein at least one of the acquiring, detecting, generating, determining, and localizing is performed by a computer processor. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system for optimizing video-based tracking of an object of interest, comprising:
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a video acquisition unit configured for acquiring a video of a regularized motion environment in memory, the video comprising a plurality of frames; an object detection unit configured for detecting an initial instance of an object of interest a frame of the plurality of video frames; an object characterization unit configured for establishing a target object representation of the detected instance of the object of interest; an object localization unit configured for determining a location of the object of interest in the frame in accordance with the target representation of the detected instance of the object of interest; an object size and orientation unit configured for estimating a size and an orientation of the object of interest in a next subsequent frame as a function of the determined location; and a processor which implements at least one of the video acquisition unit, the object detection unit, the object characterization unit, the object localization unit, and the object size and orientation unit. - View Dependent Claims (9, 10, 11, 12, 13)
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14. A computer-implemented method for optimizing video-based tracking of an object of interest, comprising:
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generating a binary mask of a detected instance of an object of interest in one of a plurality of video frames; establishing a target object representation of the detected instance of the object of interest in accordance with the generated binary mask; determining a location of the object of interest in the frame in accordance with the target representation of the detected instance of the object of interest; estimating a size and an orientation of the object of interest as a function of the location; and localizing the object of interest in a next subsequent frame responsive to the estimated size and orientation. - View Dependent Claims (15, 16, 17, 18)
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19. A method for optimizing video-based tracking of an object of interest, comprising:
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acquiring a video of a regularized motion environment comprising a plurality of video frames; detecting an initial instance of at least one object of interest in an initial video frame of the plurality of video frames including detection of a location thereof; localizing the at least one object of interest in a plurality of subsequent video frames; determining an object trajectory of the at least one object of interest localized in the plurality of subsequent video frames; determining an expected size and an expected orientation of the at least one object of interest as a function of the determined trajectory; and localizing the at least one object of interest in at least one of the plurality of subsequent video frames based on the determined expected size and expected orientation; wherein at least one of the acquiring, detecting, localizing, determining, determining, and localizing is performed by a computer processor.
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20. The method of claim 20 wherein the determining an object trajectory is responsive to a determined size and orientation of the object of interest within the plurality of subsequent video frames.
Specification