VERIFYING OBJECT CLASSIFICATION USING COMPONENT-BASED DESCRIPTORS AND TEMPORAL SIMILARITY MEASURES
摘要:
A method and apparatus for verifying object classification includes comparing detected object-components with trained component-based descriptors and similarity measures to generate object classification verification data. The object classification verification data represents object classification confidence or misclassification errors to weight uncertainty for perception-based decision making. A sequence of similarity measures associated with a current frame and prior frames within a reference observation time constraint are compared to a reference temporal similarity measure boundary to generate the object classification verification data.
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