SCENE OBSTRUCTION DETECTION USING HIGH PASS FILTERS

• US 20170193641A1
• Filed: 01/04/2017
• Published: 07/06/2017
• Est. Priority Date: 01/04/2016
• Status: Active Grant

• Current Assignee: Texas Instruments, Inc.
• Original Assignee: Texas Instruments, Inc.
• Inventors: Cheng, Victor
• Granted Patent: US 10,402,696 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 18/2411 based on the proximity to a decision surface, e.g. support vector machines
• CPC Class Codes: G06T 2207/20081 Training; Learning
• CPC Class Codes: G06T 2207/30168 Image quality inspection
• CPC Class Codes: G06T 2207/30252 Vehicle exterior; Vicinity of vehicle
• CPC Class Codes: G06T 7/0002 Inspection of images, e.g. flaw detection
• CPC Class Codes: G06V 10/50 by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
• CPC Class Codes: G06V 10/764 using classification, e.g. of video objects
• CPC Class Codes: G06V 20/56 exterior to a vehicle by using sensors mounted on the vehicle

Abstract

Advanced driver assistance systems need to be able to operate under real time constraints, and under a wide variety of visual conditions. The camera lens may be partially or fully obstructed by dust, road dirt, snow etc. The invention shown extracts high frequency components from the image, and is operable to classify the image as being obstructed or non-obstructed.

Claims

1. A method of scene obstruction detection comprising the steps of:

dividing the input image into a grid of N×

M blocks;

computing each block'"'"'s high frequency content by processing said blocks with a plurality of horizontal and vertical high pass filters;

computing the mean and the standard deviation of said high pass filters across M×

N values to form a four dimensional feature matrix;

classifying said image as obscured or non-obscured based on said feature matrix.

2. The method of claim 1 wherein:

said image is classified by a logistic regression algorithm.

3. A scene obstruction detection apparatus comprising of:

a processor operable to perform the steps of dividing the input image into a grid of N×

M blocks;

computing each blocks high frequency content by processing said blocks with a plurality of horizontal and vertical high pass filters;

computing the mean and the standard deviation of said high pass filters across M×

N values to form a four dimensional feature matrix;

classifying said image as obscured or non-obscured based on said feature matrix.

4. The apparatus of claim 3 wherein:

said image is classified by a logistic regression algorithm.