TY - JOUR
T1 - Pose estimation in noncontinuous video sequences using evolutionary correlation filtering
AU - Picos, Kenia
AU - Orozco-Rosas, Ulises
AU - Díaz-Ramírez, Victor H.
AU - Montiel, Oscar
N1 - Publisher Copyright:
Copyright © 2018 Kenia Picos et al.
PY - 2018
Y1 - 2018
N2 - In this paper, we propose an evolutionary correlation filtering approach for solving pose estimation in noncontinuous video sequences. The proposed algorithm computes the linear correlation between the input scene containing a target in an unknown environment and a bank of matched filters constructed from multiple views of the target and estimates of statistical parameters of the scene. An evolutionary approach for finding the optimal filter that produces the highest matching score in the correlator is implemented. The parameters of the filter bank evolve through generations to refine the quality of pose estimation. The obtained results demonstrate the robustness of the proposed algorithm in challenging image conditions such as noise, cluttered background, abrupt pose changes, and motion blur. The performance of the proposed algorithm yields high accuracy in terms of objective metrics for pose estimation in noncontinuous video sequences.
AB - In this paper, we propose an evolutionary correlation filtering approach for solving pose estimation in noncontinuous video sequences. The proposed algorithm computes the linear correlation between the input scene containing a target in an unknown environment and a bank of matched filters constructed from multiple views of the target and estimates of statistical parameters of the scene. An evolutionary approach for finding the optimal filter that produces the highest matching score in the correlator is implemented. The parameters of the filter bank evolve through generations to refine the quality of pose estimation. The obtained results demonstrate the robustness of the proposed algorithm in challenging image conditions such as noise, cluttered background, abrupt pose changes, and motion blur. The performance of the proposed algorithm yields high accuracy in terms of objective metrics for pose estimation in noncontinuous video sequences.
UR - http://www.scopus.com/inward/record.url?scp=85062065208&partnerID=8YFLogxK
U2 - 10.1155/2018/5798696
DO - 10.1155/2018/5798696
M3 - Artículo
AN - SCOPUS:85062065208
SN - 1024-123X
VL - 2018
JO - Mathematical Problems in Engineering
JF - Mathematical Problems in Engineering
M1 - 5798696
ER -