TY - GEN
T1 - Motion target correlation method based on structural similarity in camera array
AU - Zhao, Chunhui
AU - Fan, Bin
AU - Hu, Jinwen
AU - Zhang, Zhiyuan
AU - Zheng, Boyin
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/6
Y1 - 2018/7/6
N2 - Aiming to solve the problem that there is limited scope of the motion target correlation method based on geometric constraint in camera array, a novel motion target correlation method based on structural similarity is proposed. Firstly, the target segmentation is addressed on low resolution clear target image in subarray by exploiting the Gaussian mixture model (GMM), then pre-correlation is carried out by utilizing the template matching, finally utilizing the target images' brightness, contrast and structure contrast, the correlation of the same target in different camera images is completed based on structural similarity in order to estimate the continuous motion information of the target. Experiments show that our algorithm can effectively accomplish the correlation of the same moving target between single-target and multi-target scene with high robustness.
AB - Aiming to solve the problem that there is limited scope of the motion target correlation method based on geometric constraint in camera array, a novel motion target correlation method based on structural similarity is proposed. Firstly, the target segmentation is addressed on low resolution clear target image in subarray by exploiting the Gaussian mixture model (GMM), then pre-correlation is carried out by utilizing the template matching, finally utilizing the target images' brightness, contrast and structure contrast, the correlation of the same target in different camera images is completed based on structural similarity in order to estimate the continuous motion information of the target. Experiments show that our algorithm can effectively accomplish the correlation of the same moving target between single-target and multi-target scene with high robustness.
KW - Camera array
KW - Gaussian mixture model (GMM)
KW - Structural similarity (SSIM)
KW - Target association
KW - Template matching
UR - http://www.scopus.com/inward/record.url?scp=85050872306&partnerID=8YFLogxK
U2 - 10.1109/CCDC.2018.8407325
DO - 10.1109/CCDC.2018.8407325
M3 - 会议稿件
AN - SCOPUS:85050872306
T3 - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
SP - 1275
EP - 1280
BT - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th Chinese Control and Decision Conference, CCDC 2018
Y2 - 9 June 2018 through 11 June 2018
ER -