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Cramer-Rao Bound for Line Constrained Trajectory Tracking

Citation Author(s):
Amr Elnakeeb, Urbashi Mitra
Submitted by:
Amr Elnakeeb
Last updated:
15 April 2018 - 2:17pm
Document Type:
Poster
Document Year:
2018
Event:
Presenters Name:
Amr Elnakeeb
Paper Code:
3551

Abstract 

Abstract: 

In this paper, target tracking constrained to short-term linear trajectories is explored. The problem is viewed as an extension of the matrix decomposition problem into low-rank and sparse components by incorporating an additional line constraint. The Cramer–Rao Bound (CRB) for the trajectory estimation is derived; numerical results show that an alternating algorithm which estimates the various components of the trajectory image is near optimal due to proximity to the computed CRB. In addition to the theoretical contribution of incorporating an additional constraint in the estimation problem, the alternating algorithm is applied to real video data and shown to be effective in estimating the trajectory despite it not being exactly linear.

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Cramer-Rao Bound for Line Constrained Trajectory Tracking--poster.pdf

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