Patent Document ID: 9842266
Application ID: 14614746
Patent Flag: 1

Claim One:
1. A method for detecting electronic device use by a driver of a vehicle, the method comprising: acquiring a first image including a vehicle from an associated non-multispectral image capture device positioned to view oncoming traffic, the first image including a windshield of the vehicle; locating a first region of the vehicle in the first image; processing pixels of the first region of the first image for computing a first feature vector describing a windshield region of the vehicle; applying the first feature vector to a classifier for classifying the first image into respective classes including at least classes for candidate electronic device use and candidate electronic device non-use; acquiring a second image including the vehicle from an associated non-multispectral image capture device positioned to view oncoming traffic, the second image including a front passenger side window or a driver side window of the vehicle; locating a second region of the vehicle in the second image; processing pixels of the second region of the second image for computing a second feature vector describing a side window region of the vehicle; applying the second feature vector to a classifier for classifying the second image into respective classes including at least classes for candidate electronic device use and candidate electronic device non-use; analyzing the first image to detect whether a passenger is present in the vehicle; calculating a confidence score for each of the first and second images; wherein the calculating the confidence score for the second image includes discounting the confidence score of the second image when a passenger is detected in the first image; and, outputting the classification of the first image and the classification of the second image; wherein processing the pixels in the images is performed by a process selected from a group consisting of: a Successive Mean Quantization Transform (SMQT); a Scale-Invariant Feature Transform (SIFT); a Histogram of Gradients (HOG); a Bag-of-Visual-Words Representation; a Fisher Vector (FV) Representation; and, a combination of the above.