Recovery of temporal synchronization error through online 3D tracking with two cameras

Title Recovery of temporal synchronization error through online 3D tracking with two cameras
Author Topçu, O., Ercan, Ali Özer, Alatan, A. A.
Publication Date: 2014
Publication Place - ACM
Subject Synchronization, 3D tracking, Occlusion
Type Document
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 978-1-4503-2925-5
Record ID 3d51fbcd-080f-41b0-bf24-056e4a3dbab7
Library Location Electrical & Electronics Engineering
Date 2014
Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text Multiple object tracking within a network of cameras with overlapping fields of views has gained interest. The acquisition of images in an asynchronous manner hinders the practical implementation of such systems. Most of the previous work reported tests over short intervals, leaving the performance degradation due to asynchronous image acquisition unknown. In this work, we propose an online method to recover the synchronization error while tracking objects. The recovered error is fed back to trackers so as to restore their performance. The time synchronization error is measured by the mismatch in the epipolar constraint between the two cameras. We show that successful recovery of the synchronization error is possible when its product with the object motion speeds are within some limits.
DOI 10.1145/2659021.2659056
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Recovery of temporal synchronization error through online 3D tracking with two cameras

Author Topçu, O., Ercan, Ali Özer, Alatan, A. A.
Publication Date 2014
Publication Place - ACM
Subject Synchronization, 3D tracking, Occlusion
Type Document
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 978-1-4503-2925-5
Record ID 3d51fbcd-080f-41b0-bf24-056e4a3dbab7
Library Location Electrical & Electronics Engineering
Date 2014
Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text Multiple object tracking within a network of cameras with overlapping fields of views has gained interest. The acquisition of images in an asynchronous manner hinders the practical implementation of such systems. Most of the previous work reported tests over short intervals, leaving the performance degradation due to asynchronous image acquisition unknown. In this work, we propose an online method to recover the synchronization error while tracking objects. The recovered error is fed back to trackers so as to restore their performance. The time synchronization error is measured by the mismatch in the epipolar constraint between the two cameras. We show that successful recovery of the synchronization error is possible when its product with the object motion speeds are within some limits.
DOI 10.1145/2659021.2659056
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