The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Neste artigo, melhoramos a precisão dos métodos existentes de geração de tracklets, reparando tracklets com base em sua avaliação de qualidade e detecção de propagação. A partir da detecção de objetos, geramos tracklets usando três métodos existentes. Em seguida, realizamos uma avaliação de qualidade de co-tracklet para pontuar cada tracklet e filtrar os bons tracklets com base em suas pontuações. Um método de propagação de detecção é projetado para transferir as detecções nos tracklets bons para os ruins, a fim de reparar os tracklets ruins. A avaliação da qualidade do tracklet em nosso método é implementada pela consistência da detecção intra-tracklet e pela integridade da detecção inter-tracklet. Dois métodos de propagação; a propagação global e a propagação local são definidas para obter uma propagação de tracklets mais precisa. Demonstramos a eficácia do método proposto no conjunto de dados MOT 15
Nii L. SOWAH
University of Electronic Science and Technology of China
Qingbo WU
University of Electronic Science and Technology of China
Fanman MENG
University of Electronic Science and Technology of China
Liangzhi TANG
University of Electronic Science and Technology of China
Yinan LIU
University of Electronic Science and Technology of China
Linfeng XU
University of Electronic Science and Technology of China
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Nii L. SOWAH, Qingbo WU, Fanman MENG, Liangzhi TANG, Yinan LIU, Linfeng XU, "A Propagation Method for Multi Object Tracklet Repair" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 9, pp. 2413-2416, September 2018, doi: 10.1587/transinf.2018EDL8029.
Abstract: In this paper, we improve upon the accuracy of existing tracklet generation methods by repairing tracklets based on their quality evaluation and detection propagation. Starting from object detections, we generate tracklets using three existing methods. Then we perform co-tracklet quality evaluation to score each tracklet and filtered out good tracklet based on their scores. A detection propagation method is designed to transfer the detections in the good tracklets to the bad ones so as to repair bad tracklets. The tracklet quality evaluation in our method is implemented by intra-tracklet detection consistency and inter-tracklet detection completeness. Two propagation methods; global propagation and local propagation are defined to achieve more accurate tracklet propagation. We demonstrate the effectiveness of the proposed method on the MOT 15 dataset
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018EDL8029/_p
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@ARTICLE{e101-d_9_2413,
author={Nii L. SOWAH, Qingbo WU, Fanman MENG, Liangzhi TANG, Yinan LIU, Linfeng XU, },
journal={IEICE TRANSACTIONS on Information},
title={A Propagation Method for Multi Object Tracklet Repair},
year={2018},
volume={E101-D},
number={9},
pages={2413-2416},
abstract={In this paper, we improve upon the accuracy of existing tracklet generation methods by repairing tracklets based on their quality evaluation and detection propagation. Starting from object detections, we generate tracklets using three existing methods. Then we perform co-tracklet quality evaluation to score each tracklet and filtered out good tracklet based on their scores. A detection propagation method is designed to transfer the detections in the good tracklets to the bad ones so as to repair bad tracklets. The tracklet quality evaluation in our method is implemented by intra-tracklet detection consistency and inter-tracklet detection completeness. Two propagation methods; global propagation and local propagation are defined to achieve more accurate tracklet propagation. We demonstrate the effectiveness of the proposed method on the MOT 15 dataset},
keywords={},
doi={10.1587/transinf.2018EDL8029},
ISSN={1745-1361},
month={September},}
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TY - JOUR
TI - A Propagation Method for Multi Object Tracklet Repair
T2 - IEICE TRANSACTIONS on Information
SP - 2413
EP - 2416
AU - Nii L. SOWAH
AU - Qingbo WU
AU - Fanman MENG
AU - Liangzhi TANG
AU - Yinan LIU
AU - Linfeng XU
PY - 2018
DO - 10.1587/transinf.2018EDL8029
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2018
AB - In this paper, we improve upon the accuracy of existing tracklet generation methods by repairing tracklets based on their quality evaluation and detection propagation. Starting from object detections, we generate tracklets using three existing methods. Then we perform co-tracklet quality evaluation to score each tracklet and filtered out good tracklet based on their scores. A detection propagation method is designed to transfer the detections in the good tracklets to the bad ones so as to repair bad tracklets. The tracklet quality evaluation in our method is implemented by intra-tracklet detection consistency and inter-tracklet detection completeness. Two propagation methods; global propagation and local propagation are defined to achieve more accurate tracklet propagation. We demonstrate the effectiveness of the proposed method on the MOT 15 dataset
ER -