2A1-A09 An Experiment of an Object Position and Attitude Measurement System Enclosed in Cylindrical Case for UVMS

This paper describes the development of a visual tracking method of an underwater vision system installed into a UVMS (underwater vehicle-manipulator system) to manipulate ocean-floor organisms such as acanthaster. First, an execution procedure of UVMS for approaching the target is shown. Next, a novel and robust target tracking method by using particle filter framework in order to achieve the procedure is proposed. We applied the proposed method to real video images, and examined its effectiveness by comparing it with other methods. The results of some experiments that evaluate the performance of the developed method are given.

show abstract

Tracking of Ocean-Floor Organisms Using a Particle Filter

Nishida

Sagara

Takemura

2013

IEEJ Trans. IA

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

2A1-A09 An Experiment of an Object Position and Attitude Measurement System Enclosed in Cylindrical Case for UVMS

Cited by 1 publication

References 0 publications

Tracking of Ocean-Floor Organisms Using a Particle Filter

Tracking of Ocean-Floor Organisms Using a Particle Filter

Contact Info

Product

Resources

About