Object detection using candidate object alignment

摘要

Classification of an object in the field of view of a camera. A processor is configured to capture multiple image frames from the camera. A candidate image is detected in the image frames. Alignment of the candidate image is determined relative to at least one previously known training image by inputting the candidate image into a trained alignment classifier and outputting one or more alignment variables therefrom associated with the candidate image. The candidate image and the alignment variable(s) are input into a trained object classifier. The object is classified responsive to the alignment variable(s).

主权项

1. A method for classifying an object in the field of view of a camera, wherein a processor is configured to capture a plurality of image frames from the camera, the method comprising:
detecting a candidate image in the image frames; determining alignment of said candidate image relative to at least one previously known training image by inputting the candidate image into a trained alignment classifier and outputting a plurality of alignment variables therefrom associated with the candidate image by performing a separate regression for each of said alignment variables; inputting the candidate image and said alignment variables into a trained object classifier; and classifying the object by the trained object classifier responsive to said alignment variables.