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Target Centroid Position Estimation of Phase-Path Volume Kalman Filtering
Author
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
For the problem of easily losing track target when obstacles appear in intelligent robot target tracking, this paper proposes a target tracking algorithm integrating reduced dimension optimal Kalman filtering algorithm based on phase-path volume integral with Camshift algorithm.
After analyzing the defects of Camshift algorithm, compare the performance with the SIFT algorithm and Mean Shift algorithm, and Kalman filtering algorithm is used for fusion optimization aiming at the defects.
Then aiming at the increasing amount of calculation in integrated algorithm, reduce dimension with the phase-path volume integral instead of the Gaussian integral in Kalman algorithm and reduce the number of sampling points in the filtering process without influencing the operational precision of the original algorithm.
Finally set the target centroid position from the Camshift algorithm iteration as the observation value of the improved Kalman filtering algorithm to fix predictive value; thus to make optimal estimation of target centroid position and keep the target tracking so that the robot can understand the environmental scene and react in time correctly according to the changes.
The experiments show that the improved algorithm proposed in this paper shows good performance in target tracking with obstructions and reduces the computational complexity of the algorithm through the dimension reduction.
American Psychological Association (APA)
Hu, Fengjun. 2015. Target Centroid Position Estimation of Phase-Path Volume Kalman Filtering. Journal of Sensors،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110486
Modern Language Association (MLA)
Hu, Fengjun. Target Centroid Position Estimation of Phase-Path Volume Kalman Filtering. Journal of Sensors No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1110486
American Medical Association (AMA)
Hu, Fengjun. Target Centroid Position Estimation of Phase-Path Volume Kalman Filtering. Journal of Sensors. 2015. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110486
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110486