1 April 1991 Motion estimation without correspondences and object tracking over long time sequences
Author Affiliations +
Proceedings Volume 1383, Sensor Fusion III: 3D Perception and Recognition; (1991); doi: 10.1117/12.25249
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
This paper presents moment-based algorithms for matching and motion estimation of 3-D point or line sets and application of these algorithms to object tracking over long time sequences. The motion analysis is done by identifying two sets of coordinate directions based on relative position of points (or lines) before and after the motion. Since these coordinate vectors are motion invariant, the relationship between them gives parameters of rigid motion. However, we need to verify that the sets before and after the motion are matched before applying motion estimation algorithm. We propose several measures suitable for matching of 3-D point (and line) sets, test them on simulated data and develop several criteria for determining noise sensitivity of matching and motion estimation algorithms. Finally, we apply the proposed algorithm to the long sequence (24) of real data (moving vehicle) on which 3-D points were determined by stereo matching.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dmitry B. Goldgof, Hua Lee, Thomas S. Huang, "Motion estimation without correspondences and object tracking over long time sequences", Proc. SPIE 1383, Sensor Fusion III: 3D Perception and Recognition, (1 April 1991); doi: 10.1117/12.25249; https://doi.org/10.1117/12.25249

Motion estimation


Sensor fusion

Algorithm development

Detection and tracking algorithms

Computer engineering

Computer simulations

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