An Improvement Stereo Vision Images Processing for Object Distance Measurement

Hsu, Tsung Shiang; Wang, Ta Chung

doi:10.5875/ausmt.v5i2.460

Cited by 29 publications

(7 citation statements)

References 9 publications

(14 reference statements)

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“…In the prior research work, the object-following robot was designed using the camera to detect and track LED light carried by the object [11]. Iwata et al [12] developed a human-following robot to track the human back and shoulders.…”

Section: Related Workmentioning

confidence: 99%

“…Then, the error between the different depth measurement techniques is compared with the new curve fitting method. The results show that the mathematical relation between the depth and disparity derived using curve fitting results gives the minimum error; hence, this technique can be used in objecttracking robot design in the real world [11].…”

Section: Introductionmentioning

confidence: 96%

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Design and implementation of a computer Vision-based Object Tracking Robot using an Uncalibrated Camera

Nitu,

Barman,

Kumar

2024

Preprint

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Object detection and tracking are challenging tasks in computer vision applications, such as autonomous robot navigation, vehicle navigation, human-computer interaction, augmented reality and defence surveillance systems. Detecting and tracking an object, especially for humans and vehicles, is a challenging research topic in computer vision. This paper represents an autonomous object-tracking robot using a computer vision object detection and tracking algorithm with a novel robot controller. The speeded-up-robust-feature (SURF) based object detection technique has been employed for object detection, and Kanade-Lucas-Tomasi (KLT) has been used for object tracking. The stereo vision-based depth measurement technique measures objects' depth. Based on the object's location in 3D space, the robot controller navigated the robot to track the object. For this purpose, the robot controller is designed with Arduino and L293D motor driver IC. The robot's speed was controlled using a pulse width modulation (PWM) speed control algorithm. The simulated results show that the proposed techniques efficiently track objects in 3-D space.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Design and implementation of a computer Vision-based Object Tracking Robot using an Uncalibrated Camera

Nitu,

Barman,

Kumar

2024

Preprint

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“…Beberapa karya penelitian sebelumnya menggunakan konfigurasi kamera stereo dengan tujuan pengukuran jarak objek. Sebagai contoh, Tsung-Shiang Hsu dan Ta-Chung Wang dengan judul penelitian "An Improvement Stereo Vision Images Processing for Object Distance Measurement" [6]. Penelitian tersebut menggunakan metode Speed up Robust feature (SURF) untuk melakukan pengukuran jarak objek dengan tingkat ketelitian diatas 95%.…”

Section: Pendahuluanunclassified

Sistem Orientasi Objek Dengan Metode Stereo Vision Berbasis Raspberry Pi

Ginting

Patmasari

Aulia

2019

ITJRD

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Pengukuran estimasi jarak sebuah objek dapat dilakukan dengan berbagai cara, antara lain dengan memanfaatkan sensor pengukur jarak seperti sensor ultrasonik, sensor infra merah dan laser. Tetapi cara tersebut memiliki kekurangan seperti memiliki batasan-batasan karakteristik bahan yang digunakan dan memiliki kesulitan tersendiri jika dikaitkan dengan orientasi dimana objek tersebut berada. Berdasarkan kelebihan tersebut maka pada penelitian ini akan dirancang suatu sistem pengukuran orientasi objek menggunakan metode Stereo vision yang berbasis Raspberry pi. Sistem orientasi objek ini mengacu pada estimasi jarak dan dimensi objek. Metode Stereo vision melakukan pengukuran jarak dan dimensi secara visual dengan menggunakan dua buah kamera webcam. Akusisi citra dilakukan dalam interval waktu yang bersamaan, sehingga akan terdapat dua citra yang memiliki objek yang sama tetapi dari sudut pandang yang berbeda. Kedua citra akan digunakan untuk menghitung nilai disparitas yang akan digunakan sebagai salah satu parameter dalam melakukan pengukuran jarak. Menghitung nilai disparitas citra dilakukan menggunakan beberapa metode image processing yaitu menggunakan deteksi tepi Canny edge, deteksi garis Hough line transform dan deteksi sudut Harris corner. Penelitian ini dapat digunakan sebagai alat pengukuran jarak dan dimensi objek yang bergerak secara real time dengan tingkat akurasi diatas 95% dengan tingkat presisi 100%.

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“…In the work of Ref. [17], one camera takes an image of the scene from position a, and then it is moved to position b to take another image. Their proposed algorithm was capable to provide an error less than 5% during distance calculation.…”

mentioning

confidence: 99%

A novel algorithm for distance measurement using stereo camera

Adil

Mikou

Mouhsen

2022

CAAI Trans on Intel Tech

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Distance estimation can be achieved by using active sensors or with the help of passive sensors such as cameras. The stereo vision system is generally composed of two cameras to mimic the human binocular vision. In this paper, a Python‐based algorithm is proposed to find the parameters of each camera, rectify the images, create the disparity maps and finally use these maps for distance measurements. Experiments using real‐time images, which were captured from our stereo vision system, of different obstacles positioned at multiple distances (60–200 cm) prove the effectiveness of the proposed program and show that the calculated distance to the obstacle is relatively accurate. The accuracy of distance measurement is up to 99.83%. The processing time needed to calculate the distance between the obstacle and the cameras is less than 0.355 s.

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An Improvement Stereo Vision Images Processing for Object Distance Measurement

Cited by 29 publications

References 9 publications

Design and implementation of a computer Vision-based Object Tracking Robot using an Uncalibrated Camera

Design and implementation of a computer Vision-based Object Tracking Robot using an Uncalibrated Camera

Sistem Orientasi Objek Dengan Metode Stereo Vision Berbasis Raspberry Pi

A novel algorithm for distance measurement using stereo camera

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