Vehicle imaging system and method for categorizing objects using relative motion analysis
First Claim
Patent Images
1. An imaging system for a vehicle, comprising:
- an imager configured to image a scene external and forward of the vehicle and to generate image frame data corresponding to each frame of a series of acquired image frames; and
a processor configured to receive and analyze the image frame data to;
detect objects in the scene and a dominant motion of the scene, anddetermine relative motion of the detected objects relative to the dominant motion of the scene,wherein the analysis of the image frame data performed by said processor includes categorizing the detected objects using the relative motion of the detected objects,wherein said processor categorizes objects detected in the image frame data using one or more of a detected brightness, size, position of center of mass, age, and color of the objects in addition to the relative motion of those objects, andwherein, when categorizing objects, said processor increases the probability that an object is a vehicle if the object has a high relative motion.
2 Assignments
0 Petitions
Accused Products
Abstract
An imaging system is provided for a vehicle. The imaging system includes: an imager configured to image a forward external scene of the controlled vehicle and to generate image frame data corresponding to each frame of a series of acquired image frames; and a processor configured to receive and analyze the image frame data to detect a dominant scene motion and to determine relative motion of objects as compared to the dominant scene motion, and wherein the analysis of the image frame data performed by the processor includes categorizing objects detected in the image frame data using the relative motion of those objects.
32 Citations
15 Claims
-
1. An imaging system for a vehicle, comprising:
-
an imager configured to image a scene external and forward of the vehicle and to generate image frame data corresponding to each frame of a series of acquired image frames; and a processor configured to receive and analyze the image frame data to; detect objects in the scene and a dominant motion of the scene, and determine relative motion of the detected objects relative to the dominant motion of the scene, wherein the analysis of the image frame data performed by said processor includes categorizing the detected objects using the relative motion of the detected objects, wherein said processor categorizes objects detected in the image frame data using one or more of a detected brightness, size, position of center of mass, age, and color of the objects in addition to the relative motion of those objects, and wherein, when categorizing objects, said processor increases the probability that an object is a vehicle if the object has a high relative motion. - View Dependent Claims (2, 3, 4, 5, 6)
-
-
7. A method for categorizing objects detected in a scene forward of a vehicle, the method comprising:
-
imaging a scene external and forward of the vehicle and generating image frame data corresponding to each frame of a series of acquired image frames; and receiving and analyzing the image frame data in a processor to detect objects in the scene and a dominant motion of the scene, to determine relative motion of the detected objects relative to the dominant motion of the scene, and to categorize the detected objects using the relative motion of the detected objects, wherein objects detected in the image frame data are categorized using one or more of a detected brightness, size, position of center of mass, age, and color of the objects in addition to the relative motion of those objects, and wherein, when categorizing objects, the probability that an object is a vehicle is increased if the object has a high relative motion. - View Dependent Claims (8, 9, 10)
-
-
11. A non-transitory computer readable medium having stored thereon software instructions that, when executed by a processor, cause the processor to categorize objects in a scene forward of a vehicle, by executing the steps comprising:
-
imaging a scene external and forward of the vehicle and generating image frame data corresponding to each frame of a series of acquired image frames; and receiving and analyzing the image frame data in a processor to detect objects in the scene and a dominant motion of the scene, to determine relative motion of the detected objects relative to the dominant motion of the scene, and to categorize the detected objects using the relative motion of the detected objects, wherein objects detected in the image frame data are categorized using one or more of a detected brightness, size, position of center of mass, age, and color of the objects in addition to the relative motion of those objects, and wherein, when categorizing objects, the probability that an object is a vehicle is increased if the object has a high relative motion. - View Dependent Claims (12, 13, 14, 15)
-
Specification