16.2.4.2 Broida and Related Work

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Motion, Many Frames.

Broida, T.J.[Ted J.], and Chellappa, R.,
Estimation of Object Motion Parameters from Noisy Images,
PAMI(8), No. 1, January 1986, pp. 90-99. BibRef 8601
And: CVPR85(82-88). Hughes Aircraft and USC Motion, Kalman filter. Kalman Filter. Uses a long sequence of images (20-30) to Eliminate the noise. Synthetic data, estimate motion of rigid objects. This uses a Kalman filter approach. The Pami paper is best. BibRef

Broida, T.J.[Ted J.], and Chellappa, R.,
Estimating the Kinematics and Structure of a Rigid Object from a Sequence of Monocular Images,
PAMI(13), No. 6, June 1991, pp. 497-513.
IEEE DOI BibRef 9106
Earlier:
Experiments and Uniqueness Results on Object Structure and Kinematics from a Sequence of Monocular Images,
Motion89(21-30), BibRef
And:
Kinematics and Structure of a Rigid Object from a Sequence of Noisy Images,
Motion86(95-100). This is the iterative approach. BibRef
And:
Kinematics of a Rigid Object from a Sequence of Noisy Images: A Batch Approach,
CVPR86(176-182). Motion, Structure. Use all the data at once. This is the extension to 3-D for the Kalman filter approach. BibRef

Broida, T.J., and Chellappa, R.,
Performance Bounds for Estimating Three-Dimensional Motion Parameters from a Sequence of Noisy Images,
JOSA-A(6), 1989, pp. 879-889. Motion, Estimation Evaluation. BibRef 8900

Broida, T.J., Chandrashekhar, S., and Chellappa, R.,
Recursive 3-D Motion Estimation from a Monocular Image Sequence,
AeroSys(26), No. 4, July 1990, pp. 639-656. A more complete paper for the recursive solution (incremental) with rigid, smooth motion using a Taylor series representation, quaternions, and the iterated extended Kalman filter. BibRef 9007

Chandrashekhar, S., and Chellappa, R.,
Passive Navigation in a Partially Known Environment,
JRobS(9), June 1992, pp. 729-752. BibRef 9206
Earlier: Motion91(2-7). Extension of Broida work and use of basic corner detectors for features. BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Motion Using Stereo Pairs or Depth, Multiple Cameras -- Features .


Last update:Jun 13, 2019 at 09:53:00