METHOD AND SYSTEM FOR BUILDING A SUPPORT VECTOR MACHINE BINARY TREE FOR FAST OBJECT SEARCH
First Claim
1. A computer-implemented method for configuring and providing a data binary tree for a fast object search, comprising:
- computing at least one appearance model with respect to a plurality of detected regions in an object frame of an object stored in an object database containing a plurality of multidimensional data objects including said object, said at least one appearance model represented in a covariance matrix;
assigning a class label to said at least one appearance model in a vector-based format in order to form labeled data; and
utilizing a support vector machine with respect to said labeled data to generate a classifier with an optimal hyperplane and a particular margin in order to hierarchically construct a data binary tree for a fast object search thereof.
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Abstract
Method and system for building a support vector machine binary tree for fast object search. An appearance model can be generated for objects in a database and computed on regions detected in an image frame. A covariance matrix can be utilized for representing the appearance model of the detected regions. The covariance matrix appearance model can be preprocessed and/or transferred into a vector-based format. The data in the vector-based format can be added with a class label to form labeled data. A support vector machine (SVM) can be utilized on the labeled data to generate a classifier with an optimal hyperplane and a margin area in order to hierarchically build a balanced SVM binary tree. A query appearance model can be searched rapidly utilizing the SVM binary tree during a search phase.
25 Citations
20 Claims
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1. A computer-implemented method for configuring and providing a data binary tree for a fast object search, comprising:
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computing at least one appearance model with respect to a plurality of detected regions in an object frame of an object stored in an object database containing a plurality of multidimensional data objects including said object, said at least one appearance model represented in a covariance matrix; assigning a class label to said at least one appearance model in a vector-based format in order to form labeled data; and utilizing a support vector machine with respect to said labeled data to generate a classifier with an optimal hyperplane and a particular margin in order to hierarchically construct a data binary tree for a fast object search thereof. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system for configuring and providing a data binary tree for a fast object search, comprising:
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a data bus coupled to said processor; and a computer-usable medium embodying computer code, said computer-usable medium being coupled to said data bus, said computer program code comprising instructions executable by said processor and configured for; computing at least one appearance model with respect to a plurality of detected regions in an object frame of an object stored in an object database containing a plurality of multidimensional data objects including said object, said at least one appearance model represented in a covariance matrix; assigning a class label to said at least one appearance model in a vector-based format in order to form labeled data; and utilizing a support vector machine with respect to said labeled data to generate a classifier with an optimal hyper-plane and a particular margin in order to hierarchically construct a data binary tree for a fast object search thereof. - View Dependent Claims (9, 10, 11, 12, 13)
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14. A computer-usable medium embodying computer program code, said computer program code comprising computer executable instructions configured for:
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computing at least one appearance model with respect to a plurality of detected regions in an object frame of an object stored in an object database containing a plurality of multidimensional data objects including said object, said at least one appearance model represented in a covariance matrix; assigning a class label to said at least one appearance model in a vector-based format in order to form labeled data; and utilizing a support vector machine with respect to said labeled data to generate a classifier with an optimal hyper-plane and a particular margin in order to hierarchically construct a data binary tree for a fast object search thereof. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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Specification