Multi-Posture Human Extraction Using Coarse-to-Fine Method and Human Skeleton Method

被引:0
作者
Kinoshita, Yosuke [1 ]
Takahashi, Hiroki [1 ,2 ]
机构
[1] Univ Electrocommun, Grad Sch Informat & Engn, Tokyo, Japan
[2] Artif Intelligence Explorat Res Ctr, Tokyo, Japan
来源
INTERNATIONAL WORKSHOP ON ADVANCED IMAGE TECHNOLOGY (IWAIT) 2019 | 2019年 / 11049卷
关键词
HOG; SVM; Human Detection; Human Extraction; Pose Estimation; OpenPose; Coarse-to-Fine Method; Human Skeleton Method;
D O I
10.1117/12.2521502
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Human detection is a technology that is used in various fields. It is, however, a trade-off between detection accuracy and precise extraction of human regions. The purpose of this paper is, therefore, to extract a precise human region using Coarse-to-Fine Method or Human Skeleton Method. In the Coarse-to-Fine Method, at first, Coarse Detector detects multi-posture humans. Next, Fine Detector extracts precise human regions. In the Human Skeleton Method, human skeletons are extracted by using OpenPose(1). Next, skeleton images are dilated based on physique of the human. Finally, human regions are extracted by using GrabCut(2). The extracted results are evaluated by detection accuracy and preciseness of extracted regions. F-measure and IoU (Intersection over Union) are employed to evaluate the detection accuracy and the preciseness respectively. In the Coarse-to-Fine Method, the detection accuracy is 0.523, and the extraction preciseness becomes 0.807. In the Human Skeleton Method, the detection accuracy reaches 0.928, and the extraction preciseness is 0.868. Especially, Human Skeleton Method gets excellent performance in not only the extraction preciseness but also the detection accuracy.
引用
收藏
页数:6
相关论文
共 6 条
  • [1] Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
    Cao, Zhe
    Simon, Tomas
    Wei, Shih-En
    Sheikh, Yaser
    [J]. 30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017), 2017, : 1302 - 1310
  • [2] LIBSVM: A Library for Support Vector Machines
    Chang, Chih-Chung
    Lin, Chih-Jen
    [J]. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2011, 2 (03)
  • [3] Histograms of oriented gradients for human detection
    Dalal, N
    Triggs, B
    [J]. 2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 2005, : 886 - 893
  • [4] Masaki Atsushi, AIST HUMAN BODY MEAS
  • [5] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
    Ren, Shaoqing
    He, Kaiming
    Girshick, Ross
    Sun, Jian
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 39 (06) : 1137 - 1149
  • [6] Rother Carsten, 2014, ACM T GRAPH, V23