Using Optical Flow under Bird''s-eye View Transform to Estimate the Height of Objects around a Vehicle

碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 99 === The paper proposed a new method that can real-time estimates the height of objects with single camera from bird’s–eye view. Generally, it is impossible to obtain 3-D information, like the depth of objects, with one single camera except the additional informati...

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Main Authors: Fung-Chan Lei, 雷丰銓
Other Authors: Rong-Chin Lo
Format: Others
Language:en_US
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/zh336d
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spelling ndltd-TW-099TIT056520422019-05-15T20:42:28Z http://ndltd.ncl.edu.tw/handle/zh336d Using Optical Flow under Bird''s-eye View Transform to Estimate the Height of Objects around a Vehicle 基於鳥瞰轉換下運用光流估測車輛環場景物之高度 Fung-Chan Lei 雷丰銓 碩士 國立臺北科技大學 電腦與通訊研究所 99 The paper proposed a new method that can real-time estimates the height of objects with single camera from bird’s–eye view. Generally, it is impossible to obtain 3-D information, like the depth of objects, with one single camera except the additional information, such as the height of camera and the tilt angle of the camera, are known in advance. Although, the disparity map of the binocular cameras is usually employed to estimate the depth, but it is not suitable for a car to estimate the height (same as the depth estimating from planar view) of objects from bird’s-eye-view due to the difficulties of installation and corresponding. Therefore, the optical flow to estimate the height of the object with one camera is proposed. There are two features under dynamic bird’s–eye view of image. First, the optical flow value is proportional to the height of object. Second, there is no perspective effect in each layer height of image plane. Since the feature points between the obstacles and the ground are fetched and numbered, the ratio of optical flow of these 2 points is obtained. The camera’s height is known as well, therefore the height the of feature points can be estimated. In order to prove the proposed method, first, an experimental platform has been built, that includes one camera fixed on the platform and one 3*3 LEDs device. The LED device consists of three color LEDs where the height of red LED is 0 cm (i.e., on the ground), the height of yellow LED is 30 cm, the height of green LED is 60 cm. By using the camera, the continuous images of LEDs device per 10 cm movement under the bird’s-eye-view image is captured. From the captured images, the optical flows of LEDs (Red, yellow, green) in different height are calculated, then the heights of LEDs can be estimated. From the experimental results, the estimated LED’s height is very close to the actual LED’s height (5% error rate). Rong-Chin Lo 駱榮欽 2011 學位論文 ; thesis 44 en_US
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description 碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 99 === The paper proposed a new method that can real-time estimates the height of objects with single camera from bird’s–eye view. Generally, it is impossible to obtain 3-D information, like the depth of objects, with one single camera except the additional information, such as the height of camera and the tilt angle of the camera, are known in advance. Although, the disparity map of the binocular cameras is usually employed to estimate the depth, but it is not suitable for a car to estimate the height (same as the depth estimating from planar view) of objects from bird’s-eye-view due to the difficulties of installation and corresponding. Therefore, the optical flow to estimate the height of the object with one camera is proposed. There are two features under dynamic bird’s–eye view of image. First, the optical flow value is proportional to the height of object. Second, there is no perspective effect in each layer height of image plane. Since the feature points between the obstacles and the ground are fetched and numbered, the ratio of optical flow of these 2 points is obtained. The camera’s height is known as well, therefore the height the of feature points can be estimated. In order to prove the proposed method, first, an experimental platform has been built, that includes one camera fixed on the platform and one 3*3 LEDs device. The LED device consists of three color LEDs where the height of red LED is 0 cm (i.e., on the ground), the height of yellow LED is 30 cm, the height of green LED is 60 cm. By using the camera, the continuous images of LEDs device per 10 cm movement under the bird’s-eye-view image is captured. From the captured images, the optical flows of LEDs (Red, yellow, green) in different height are calculated, then the heights of LEDs can be estimated. From the experimental results, the estimated LED’s height is very close to the actual LED’s height (5% error rate).
author2 Rong-Chin Lo
author_facet Rong-Chin Lo
Fung-Chan Lei
雷丰銓
author Fung-Chan Lei
雷丰銓
spellingShingle Fung-Chan Lei
雷丰銓
Using Optical Flow under Bird''s-eye View Transform to Estimate the Height of Objects around a Vehicle
author_sort Fung-Chan Lei
title Using Optical Flow under Bird''s-eye View Transform to Estimate the Height of Objects around a Vehicle
title_short Using Optical Flow under Bird''s-eye View Transform to Estimate the Height of Objects around a Vehicle
title_full Using Optical Flow under Bird''s-eye View Transform to Estimate the Height of Objects around a Vehicle
title_fullStr Using Optical Flow under Bird''s-eye View Transform to Estimate the Height of Objects around a Vehicle
title_full_unstemmed Using Optical Flow under Bird''s-eye View Transform to Estimate the Height of Objects around a Vehicle
title_sort using optical flow under bird''s-eye view transform to estimate the height of objects around a vehicle
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/zh336d
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