Abstract

The authors propose a new state formulation to analyze object motion with arbitrary orders of translation and rotation from a sequence of video images. An extended Kalman filter is used to find the estimates sequentially from noisy images. Simulations showed that the proposed formulation was quite effective for estimating nonconstant rigid body motion. >

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.