Single camera based motion and shape estimation using extended kalman filtering

Mathematical and Computer Modelling

Volumn 34, Issue 5-6, 2001, Pages 511-525

  Kano, H ^a   Ghosh, B K ^b   Kanai, H ^c  

^a TOKYO DENKI UNIVERSITY   (Japan)

^b WASHINGTON UNIVERSITY   (United States)

^c NTT CORPORATION   (Japan)

Author keywords

Estimation; Filtering; Motion; Optical flow; Rigid motion; Shape

Indexed keywords

EID: 0035816117     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0895-7177(01)00079-6     Document Type: Article

References (12)

1. Kalman filter-based algorithms for estimating depth from image sequences
2. Motion estimation via dynamic vision
3. Surface structure and 3-D motion from image flow: Kinematic analysis
4. Visually guided ranging from observations of points, lines and curves via an identifier based nonlinear observer
5. Observers for systems with implicit output
6. A perspective theory for motion and shape estimation in machine vision