A real-time adaptive segmentation method based on new distance features is proposed for the binary centroid tracker. These novel features are distances between the predicted center pixel of a target object by a tracking filter and each pixel in extraction of a moving target. The proposed method restricts clutters with target-like intensity from entering a tracking window and has low computational complexity for real-time applications compared with other complex feature-based methods. Comparative experiments show that the proposed method is superior to other segmentation methods based on the intensity feature only in target detection and tracking.
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Jae-Soo CHO, Do-Jong KIM, Dong-Jo PARK, "Robust Centroid Target Tracker Based on New Distance Features in Cluttered Image Sequences" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 12, pp. 2142-2151, December 2000, doi: .
Abstract: A real-time adaptive segmentation method based on new distance features is proposed for the binary centroid tracker. These novel features are distances between the predicted center pixel of a target object by a tracking filter and each pixel in extraction of a moving target. The proposed method restricts clutters with target-like intensity from entering a tracking window and has low computational complexity for real-time applications compared with other complex feature-based methods. Comparative experiments show that the proposed method is superior to other segmentation methods based on the intensity feature only in target detection and tracking.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_12_2142/_p
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@ARTICLE{e83-d_12_2142,
author={Jae-Soo CHO, Do-Jong KIM, Dong-Jo PARK, },
journal={IEICE TRANSACTIONS on Information},
title={Robust Centroid Target Tracker Based on New Distance Features in Cluttered Image Sequences},
year={2000},
volume={E83-D},
number={12},
pages={2142-2151},
abstract={A real-time adaptive segmentation method based on new distance features is proposed for the binary centroid tracker. These novel features are distances between the predicted center pixel of a target object by a tracking filter and each pixel in extraction of a moving target. The proposed method restricts clutters with target-like intensity from entering a tracking window and has low computational complexity for real-time applications compared with other complex feature-based methods. Comparative experiments show that the proposed method is superior to other segmentation methods based on the intensity feature only in target detection and tracking.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - Robust Centroid Target Tracker Based on New Distance Features in Cluttered Image Sequences
T2 - IEICE TRANSACTIONS on Information
SP - 2142
EP - 2151
AU - Jae-Soo CHO
AU - Do-Jong KIM
AU - Dong-Jo PARK
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2000
AB - A real-time adaptive segmentation method based on new distance features is proposed for the binary centroid tracker. These novel features are distances between the predicted center pixel of a target object by a tracking filter and each pixel in extraction of a moving target. The proposed method restricts clutters with target-like intensity from entering a tracking window and has low computational complexity for real-time applications compared with other complex feature-based methods. Comparative experiments show that the proposed method is superior to other segmentation methods based on the intensity feature only in target detection and tracking.
ER -