camera localization in distributed networks using trajectory estimation
Clicks: 231
ID: 191015
2011
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Popular Article
30.0
/100
231 views
52 readers
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #23 of 85 articles by views in Molecular diversity
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
This paper presents an algorithm for camera localization
using trajectory estimation (CLUTE) in a distributed
network of nonoverlapping cameras. The algorithm recovers the
extrinsic calibration parameters, namely, the relative position and
orientation of the camera network on a common ground plane
coordinate system. We first model the observed trajectories in
each camera's field of view using Kalman filtering, then we use
this information to estimate the missing trajectory information
in the unobserved areas by fusing the results of a forward and
backward linear regression estimation from adjacent cameras.
These estimated trajectories are then filtered and used to recover
the relative position and orientation of the cameras by analyzing
the estimated and observed exit and entry points of an object in
each camera's field of view. The final configuration of the network
is established by considering one camera as a reference and by
adjusting the remaining cameras with respect to this reference.
We demonstrate the algorithm on both simulated and real data
and compare the results with state-of-the-art approaches. The
experimental results show that the proposed algorithm is more
robust to noisy and missing data and in case of camera failure.
| Reference Key |
anjum2011journalcamera
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Nadeem Anjum |
| Journal | Molecular diversity |
| Year | 2011 |
| DOI |
10.1155/2011/604647
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.