Integrating object detectors
نویسنده
چکیده
ace detector, object detector, integration, expected computational cost, cascade of classifiers, decision tree This paper describes a method for integrating object detectors that reduces the expected computational cost of evaluating all the detectors whilst obtaining the same logical behaviour as running the detectors independently. The method combines the decision trees of the different object detectors into a single composite decision structure controlling the evaluation of the classifiers from all of the original object detectors. The method intersperses the classifiers from the different object detectors allowing the evaluation of any object detector to be dependent on classifier results from other object detectors. The method exploits these extra results to rearrange the order in which classifiers from a particular object detector are evaluated. These rearrangements preserve the logical behaviour of the object detector whilst changing the expected computational cost of evaluating the decision structure.
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