FINŽGAR, Miha ;PODRŽAJ, Primož . Machine-Vision-Based Human-Oriented Mobile Robots: A Review. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 63, n.5, p. 331-348, june 2018. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/machine-vision-based-human-oriented-mobile-robots-a-review/>. Date accessed: 19 nov. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2017.4324.
Finžgar, M., & Podržaj, P. (2017). Machine-Vision-Based Human-Oriented Mobile Robots: A Review. Strojniški vestnik - Journal of Mechanical Engineering, 63(5), 331-348. doi:http://dx.doi.org/10.5545/sv-jme.2017.4324
@article{sv-jmesv-jme.2017.4324,
author = {Miha Finžgar and Primož Podržaj},
title = {Machine-Vision-Based Human-Oriented Mobile Robots: A Review},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {63},
number = {5},
year = {2017},
keywords = {mobile robot; machine vision; human recognition; image-processing algorithms; medical applications; review; overview},
abstract = {In this paper we present a study of vision-based, human-recognition solutions in human-oriented, mobile-robot applications. Human recognition is composed of detection, tracking and identification. Here, we provide an analysis of each step. The applied vision systems can be conventional 2D, stereo or omnidirectional. The camera sensor can be designed to detect light in the visible or infrared parts of the electromagnetic spectrum. Regardless of the method or the type of sensor chosen, the best results in human recognition can be obtained by using a multimodal solution. In this case, the vision system is enhanced with other forms of sensory information. The most common sensors are laser range finders, microphones and sonars. As medicine is expected to be one of the main fields of application for mobile robots, we give it special emphasis. An overview of current applications and proposal of potential future applications are given. Without doubt, properly controlled mobile robots will play an ever-increasing role in the future of medicine.},
issn = {0039-2480}, pages = {331-348}, doi = {10.5545/sv-jme.2017.4324},
url = {https://www.sv-jme.eu/sl/article/machine-vision-based-human-oriented-mobile-robots-a-review/}
}
Finžgar, M.,Podržaj, P. 2017 June 63. Machine-Vision-Based Human-Oriented Mobile Robots: A Review. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 63:5
%A Finžgar, Miha %A Podržaj, Primož %D 2017 %T Machine-Vision-Based Human-Oriented Mobile Robots: A Review %B 2017 %9 mobile robot; machine vision; human recognition; image-processing algorithms; medical applications; review; overview %! Machine-Vision-Based Human-Oriented Mobile Robots: A Review %K mobile robot; machine vision; human recognition; image-processing algorithms; medical applications; review; overview %X In this paper we present a study of vision-based, human-recognition solutions in human-oriented, mobile-robot applications. Human recognition is composed of detection, tracking and identification. Here, we provide an analysis of each step. The applied vision systems can be conventional 2D, stereo or omnidirectional. The camera sensor can be designed to detect light in the visible or infrared parts of the electromagnetic spectrum. Regardless of the method or the type of sensor chosen, the best results in human recognition can be obtained by using a multimodal solution. In this case, the vision system is enhanced with other forms of sensory information. The most common sensors are laser range finders, microphones and sonars. As medicine is expected to be one of the main fields of application for mobile robots, we give it special emphasis. An overview of current applications and proposal of potential future applications are given. Without doubt, properly controlled mobile robots will play an ever-increasing role in the future of medicine. %U https://www.sv-jme.eu/sl/article/machine-vision-based-human-oriented-mobile-robots-a-review/ %0 Journal Article %R 10.5545/sv-jme.2017.4324 %& 331 %P 18 %J Strojniški vestnik - Journal of Mechanical Engineering %V 63 %N 5 %@ 0039-2480 %8 2018-06-27 %7 2018-06-27
Finžgar, Miha, & Primož Podržaj. "Machine-Vision-Based Human-Oriented Mobile Robots: A Review." Strojniški vestnik - Journal of Mechanical Engineering [Online], 63.5 (2017): 331-348. Web. 19 Nov. 2024
TY - JOUR AU - Finžgar, Miha AU - Podržaj, Primož PY - 2017 TI - Machine-Vision-Based Human-Oriented Mobile Robots: A Review JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2017.4324 KW - mobile robot; machine vision; human recognition; image-processing algorithms; medical applications; review; overview N2 - In this paper we present a study of vision-based, human-recognition solutions in human-oriented, mobile-robot applications. Human recognition is composed of detection, tracking and identification. Here, we provide an analysis of each step. The applied vision systems can be conventional 2D, stereo or omnidirectional. The camera sensor can be designed to detect light in the visible or infrared parts of the electromagnetic spectrum. Regardless of the method or the type of sensor chosen, the best results in human recognition can be obtained by using a multimodal solution. In this case, the vision system is enhanced with other forms of sensory information. The most common sensors are laser range finders, microphones and sonars. As medicine is expected to be one of the main fields of application for mobile robots, we give it special emphasis. An overview of current applications and proposal of potential future applications are given. Without doubt, properly controlled mobile robots will play an ever-increasing role in the future of medicine. UR - https://www.sv-jme.eu/sl/article/machine-vision-based-human-oriented-mobile-robots-a-review/
@article{{sv-jme}{sv-jme.2017.4324},
author = {Finžgar, M., Podržaj, P.},
title = {Machine-Vision-Based Human-Oriented Mobile Robots: A Review},
journal = {Strojniški vestnik - Journal of Mechanical Engineering},
volume = {63},
number = {5},
year = {2017},
doi = {10.5545/sv-jme.2017.4324},
url = {https://www.sv-jme.eu/sl/article/machine-vision-based-human-oriented-mobile-robots-a-review/}
}
TY - JOUR AU - Finžgar, Miha AU - Podržaj, Primož PY - 2018/06/27 TI - Machine-Vision-Based Human-Oriented Mobile Robots: A Review JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 63, No 5 (2017): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2017.4324 KW - mobile robot, machine vision, human recognition, image-processing algorithms, medical applications, review, overview N2 - In this paper we present a study of vision-based, human-recognition solutions in human-oriented, mobile-robot applications. Human recognition is composed of detection, tracking and identification. Here, we provide an analysis of each step. The applied vision systems can be conventional 2D, stereo or omnidirectional. The camera sensor can be designed to detect light in the visible or infrared parts of the electromagnetic spectrum. Regardless of the method or the type of sensor chosen, the best results in human recognition can be obtained by using a multimodal solution. In this case, the vision system is enhanced with other forms of sensory information. The most common sensors are laser range finders, microphones and sonars. As medicine is expected to be one of the main fields of application for mobile robots, we give it special emphasis. An overview of current applications and proposal of potential future applications are given. Without doubt, properly controlled mobile robots will play an ever-increasing role in the future of medicine. UR - https://www.sv-jme.eu/sl/article/machine-vision-based-human-oriented-mobile-robots-a-review/
Finžgar, Miha, AND Podržaj, Primož. "Machine-Vision-Based Human-Oriented Mobile Robots: A Review" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 63 Number 5 (27 June 2018)
Strojniški vestnik - Journal of Mechanical Engineering 63(2017)5, 331-348
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
In this paper we present a study of vision-based, human-recognition solutions in human-oriented, mobile-robot applications. Human recognition is composed of detection, tracking and identification. Here, we provide an analysis of each step. The applied vision systems can be conventional 2D, stereo or omnidirectional. The camera sensor can be designed to detect light in the visible or infrared parts of the electromagnetic spectrum. Regardless of the method or the type of sensor chosen, the best results in human recognition can be obtained by using a multimodal solution. In this case, the vision system is enhanced with other forms of sensory information. The most common sensors are laser range finders, microphones and sonars. As medicine is expected to be one of the main fields of application for mobile robots, we give it special emphasis. An overview of current applications and proposal of potential future applications are given. Without doubt, properly controlled mobile robots will play an ever-increasing role in the future of medicine.