ROBOT VISION SYSTEM AND DETECTION METHOD
First Claim
1. A robot vision system for outputting a disparity map, the system comprising:
- a stereo camera for receiving left and right images and outputting a disparity map between the two images;
an encoder for encoding either the left image or the right image into a motion compensation-based video bit-stream;
a decoder for extracting an encoding type of an image block, a motion vector, and a Discrete Cosine Transform (DCT) coefficient from the video bit-stream;
a person detector for detecting and labeling person blocks in the image using the disparity map between the left image and the right image, the block encoding type, and the motion vector, and detecting a distance from the labeled person to the camera;
an obstacle detector for detecting a closer obstacle than the person using the block encoding type, the motion vector, and the DCT coefficient extracted from the video bit-stream, and the disparity map.
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Abstract
A robot vision system for outputting a disparity map includes a stereo camera for receiving left and right images and outputting a disparity map between the two images; an encoder for encoding either the left image or the right image into a motion compensation-based video bit-stream; and a decoder for extracting an encoding type of an image block, a motion vector, and a DCT coefficient from the video bit-stream. Further, the system includes a person detector for detecting and labeling person blocks in the image using the disparity map between the left image and the right image, the block encoding type, and the motion vector, and detecting a distance from the labeled person to the camera; and an obstacle detector for detecting a closer obstacle than the person using the block encoding type, the motion vector, and the DCT coefficient extracted from the video bit-stream, and the disparity map.
49 Citations
13 Claims
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1. A robot vision system for outputting a disparity map, the system comprising:
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a stereo camera for receiving left and right images and outputting a disparity map between the two images; an encoder for encoding either the left image or the right image into a motion compensation-based video bit-stream; a decoder for extracting an encoding type of an image block, a motion vector, and a Discrete Cosine Transform (DCT) coefficient from the video bit-stream; a person detector for detecting and labeling person blocks in the image using the disparity map between the left image and the right image, the block encoding type, and the motion vector, and detecting a distance from the labeled person to the camera; an obstacle detector for detecting a closer obstacle than the person using the block encoding type, the motion vector, and the DCT coefficient extracted from the video bit-stream, and the disparity map. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A detection method in a robot vision system, comprising:
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reconfiguring left and right images; receiving the reconfigured image and encoding the same into a motion compensation-based video bit-stream; partially decoding the video bit-stream to extract an encoding type of an image block, a motion vector, and a DCT coefficient from the video bit-stream; detecting and labeling person blocks in the image using a disparity map between the left image and the right image, the block encoding type, and the motion vector, and detecting a distance from the labeled person to the camera; and detecting a closer obstacle than the person using the block encoding type, the motion vector, and the DCT coefficient extracted from the video bit-stream, and the disparity map. - View Dependent Claims (10, 11)
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12. A detection method in a robot vision system, comprising:
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photographing left and right images and calculating a disparity map between left and right images using the two images; reconfiguring one of the left and right images into an image having a resolution for encoding; receiving the reconfigured image and encoding the same into a video bit-stream; decoding to extract an encoding type, a motion vector, and a DCT coefficient of the image from the video bit-stream; detecting and labeling blocks of a moving person within the image using the disparity map between the left image and the right image, and the motion vector, and detecting a distance from the labeled person to the camera; and detecting a closer obstacle than the person using the extracted encoding type, motion vector, and DCT coefficient of the image, and the disparity map between the left image and the right image. - View Dependent Claims (13)
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Specification