TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Compressed Sensing-based Multiple-target Tracking Algorithm for Ad Hoc Camera Sensor Networks |
| 영문제목(English Title) |
Compressed Sensing-based Multiple-target Tracking Algorithm for Ad Hoc Camera Sensor Networks |
| 저자(Author) |
Xu Lu
Lianglun Cheng
Jun Liu
Rongjun Chen
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| 원문수록처(Citation) |
VOL 12 NO. 03 PP. 1287 ~ 1300 (2018. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Target-tracking algorithm based on ad hoc camera sensor networks (ACSNs) utilizes the distributed observation capability of nodes to achieve accurate target tracking. A compressed sensing-based multiple-target tracking algorithm (CSMTTA) for ACSNs is proposed in this work based on the study of camera node observation projection model and compressed sensing model. The proposed algorithm includes reconfiguration of observed signals and evaluation of target locations. It reconfigures observed signals by solving the convex optimization of L1-norm least and forecasts node group to evaluate a target location by the motion features of the target. Simulation results show that CSMTTA can recover the subtracted observation information accurately under the condition of sparse sampling to a high target-tracking accuracy and accomplish the distributed tracking task of multiple mobile targets.
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| 키워드(Keyword) |
Camera sensor networks
target tracking
compressed sensing
location evaluating
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| 파일첨부 |
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