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 an alignment variable therefrom associated with the candidate image; inputting the candidate image and said alignment variable into a trained object classifier; and classifying the candidate image, wherein classifying the candidate image comprises classifying the object by the trained object classifier responsive to said alignment variable.
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 an alignment variable therefrom associated with the candidate image; inputting the candidate image and said alignment variable into a trained object classifier; and classifying the candidate image, wherein classifying the candidate image comprises classifying the object by the trained object classifier responsive to said alignment variable. 7. The method of claim 1 , further comprising previously training said trained alignment classifier on a plurality of training images for said alignment classifier.