Method for searching target object and following motion thereof through stereo vision processing and home intelligent service robot using the same

• US 20080215184A1
• Filed: 10/31/2007
• Published: 09/04/2008
• Est. Priority Date: 12/07/2006
• Status: Abandoned Application

• Current Assignee: Electronics and Telecommunications Research Institute
• Original Assignee: Electronics and Telecommunications Research Institute
• Inventors: Cho, Jae Il, Hwang, Dae Hwan, Choi, Seung Min, Chang, Ji Ho
• Application Number:
  US11/981,940
• Publication Number:
  US 20080215184A1
• Time in Patent Office: Days
• US Class Current: 700/259
• CPC Class Codes: G06V 10/255 Detecting or recognising potential candidate objects based on visual cues, e.g. shapes
• CPC Class Codes: G06V 20/10 Terrestrial scenes scenes under surveillance with static cameras G06V20/52; scenes perceived from the exterior of a vehicle G06V20/56; scenes perceived from the interior of a vehicle G06V20/59

Abstract

A home intelligent service robot for recognizing a user and following the motion of a user and a method thereof are provided. The home intelligent service robot includes a driver, a vision processor, and a robot controller. The driver moves an intelligent service robot according to an input moving instruction. The vision processor captures images through at least two or more cameras in response to a capturing instruction for following a target object, minimizes the information amount of the captured image, and discriminates objects in the image into the target object and obstacles. The robot controller provides the capturing instruction for following the target object in a direction of collecting instruction information to the vision processor when the instruction information is collected from outside, and controls the intelligent service robot to follow and move the target object while avoiding obstacles based on the discriminating information from the vision processor.

Claims

1. An intelligent service robot comprising:

a driver for moving an intelligent service robot according to an input moving instruction;

a vision processor for capturing images through at least two or more cameras in response to a capturing instruction for following a target object, minimizing the information amount of the captured image, and discriminating objects in the image into the target object and obstacles; and

a robot controller for providing the capturing instruction for following the target object in a direction of collecting instruction information to the vision processor when the instruction information is collected from outside, and controlling the intelligent service robot to follow and move the target object while avoiding obstacles based on the discriminating information from the vision processor.

2. The intelligent service robot according to claim 1, wherein the vision processor includes:

a stereo camera unit for collecting image information captured from the camera;

an input image preprocessor for correcting the image information by performing an image preprocess on the collected image information from the stereo camera unit through a predetermined image processing scheme;

a stereo matching unit for creating a disparity map by matching corresponding regions in the corrected images as one image; and

an image postprocessor for discriminating different objects based on the disparity map after removing noise of the disparity map, extracting outlines of the discriminated objects using edge information of an original image, and identifying the target object and the obstacle based on the extracted outlines.

3. The intelligent service robot according to claim 2, wherein the image postprocessor extracts horizontal sizes and vertical sizes of the discriminated objects, and distances between the intelligent service robot to corresponding objects.

4. The intelligent service robot according to claim 2, further comprising an image output selector for selectively outputting images outputted from the stereo camera unit, the input image preprocessor, the stereo matching unit, and the image postprocessor for transmitting the selected image to a robot server.

5. The intelligent service robot according to claim 2, wherein the image postprocessor removes matching error of the disparity map or noise generated by mismatch of camera calibration through a low pass filter.

6. The intelligent service robot according to claim 5, wherein the low pass filter is a mode filter or a median filter.

7. The intelligent service robot according to claim 2, wherein the input image preprocessor uses image processing schemes by at least one of brightness level control, contrast control, histogram equalization, and edge detection based on left and right original images and images created by crossing left and right original image one pixel by one pixel.

8. The intelligent service robot according to claim 7, wherein the input image preprocessor encodes an image created by crossing left and right original images one pixel by one pixel and transmits the encoded images to the robot server, and the robot server receives images by decoding stream using a corresponding image processing scheme.

9. The intelligent service robot according to claim 1, wherein the instruction information is information about motion made by the target object or sound localization.

10. A method of following a target object of an intelligent service robot comprising:

collecting instruction information from outside;

minimizing information amount of an captured image by capturing images through at least two or more cameras in a direction of collecting the collected instruction information, and discriminating objects in the image into the target object and obstacles; and

moving to the target object while avoiding the obstacle based on the vision processing result.

11. The method according to claim 10, wherein the step of minimizing the information and discriminating the objects includes:

collecting image information captured through the camera based on synchronization;

correcting the image information by performing an image preprocess on the collected image information through a predetermined image processing scheme;

creating a disparity map by matching corresponding regions in the corrected image information as one image;

minimizing matching error of the disparity map and error generated from camera calibration;

discriminating different objects after grouping the different objects according to brightness thereof based on the noise removed disparity map;

creating accurate outer shapes of objects corresponding to location of objects discriminated and grouped according to the brightness in the disparity map by comparing and analyzing edge information of an original image; and

discriminating the objects having the accurately discriminated outlines into the target object and the obstacle.

12. The method according to claim 11, further comprising extracting horizontal sizes and vertical seizes of the discriminated objects and distance information from a current location to corresponding objects.