Target orientation estimation using depth sensing
AssigneesHonda Motor Co., Ltd., The Ohio State University Research Foundation
InventorsKikuo Fujimura, Youding Zhu
Life of this patent
Estimating the term…
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AssigneesHonda Motor Co., Ltd., The Ohio State University Research Foundation
InventorsKikuo Fujimura, Youding Zhu
Estimating the term…
A system for estimating orientation of a target based on real-time video data uses depth data included in the video to determine the estimated orientation. The system includes a time-of-flight camera capable of depth sensing within a depth window. The camera outputs hybrid image data (color and depth). Segmentation is performed to determine the location of the target within the image. Tracking is used to follow the target location from frame to frame. During a training mode, a target-specific training image set is collected with a corresponding orientation associated with each frame. During an estimation mode, a classifier compares new images with the stored training set to determine an estimated orientation. A motion estimation approach uses an accumulated rotation/translation parameter calculation based on optical flow and depth constrains. The parameters are reset to a reference value each time the image corresponds to a dominant orientation.
A computer based method for estimating an orientation of a target using depth image data, the method comprising the steps of:
A computer readable medium for estimating an orientation of a target using depth image data, comprising a computer program that when executed by a computer processor implements the steps of:
A system for estimating an orientation of a target using depth image data, the system comprising:
Dependencies are inferred from the claim text.