Abstract
In this paper, a single object tracking method based on fusion of detection information collected from a distributed heterogeneous sensor network is proposed. The considered sensor network is composed of one active type source and multiple receivers. It is assumed that the heterogeneous network is capable of acquiring both passive and active information simultaneously. By means of fusion of the acquired heterogeneous data, the proposed method estimates the candidate region of target location. Then, position of the object is estimated by Maximum Likelihood Estimation. In the experimental results, the performance of the proposed method is demonstrated in terms of deployment strategy of the heterogeneous sensor network.
Original language | English |
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Title of host publication | 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 444-449 |
Number of pages | 6 |
ISBN (Electronic) | 9781509038114 |
DOIs | |
Publication status | Published - 2016 Nov 7 |
Event | 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016 - Colorado Springs, United States Duration: 2016 Aug 23 → 2016 Aug 26 |
Publication series
Name | 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016 |
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Other
Other | 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016 |
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Country/Territory | United States |
City | Colorado Springs |
Period | 16/8/23 → 16/8/26 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
ASJC Scopus subject areas
- Signal Processing
- Media Technology
- Instrumentation
- Computer Vision and Pattern Recognition