An UNet-Based Head Shoulder Segmentation Network

Hong Xia Xie, Chih Yang Lin, Hua Zheng, Pei Yu Lin

研究成果: 書貢獻/報告類型會議論文篇章同行評審

11 引文 斯高帕斯(Scopus)

摘要

Within the rapidly developing field of computer vision, pedestrian detection is a fundamental and challenging task for both industry and academia. However, object segmentation information can help the network to capture the attention of the model during training. In this paper, we propose a head-shoulder segmentation network based on modified U-Net network. The architecture consists of a contracting path to capture information from a lower layer and a symmetric expanding path to enable precise localization. The proposed model aims to effectively segment the head-shoulder portion of pedestrian without a huge annotated training sample. Segmentation of a random image takes less than a second on NVIDIA GTX 1070. This paper will show the mean IOU and some segmentation results to prove effectiveness of this model.

原文???core.languages.en_GB???
主出版物標題2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(列印)9781538663011
DOIs
出版狀態已出版 - 27 8月 2018
事件5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 - Taichung, Taiwan
持續時間: 19 5月 201821 5月 2018

出版系列

名字2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018

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???event.eventtypes.event.conference???5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018
國家/地區Taiwan
城市Taichung
期間19/05/1821/05/18

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