Real-Time Human Motion Analysis by Image Skeletonization

Hironobu FUJIYOSHI; Alan J. LIPTON; Takeo KANADE

Real-Time Human Motion Analysis by Image Skeletonization

Hironobu FUJIYOSHI, Alan J. LIPTON, Takeo KANADE

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In this paper, a process is described for analysing the motion of a human target in a video stream. Moving targets are detected and their boundaries extracted. From these, a "star" skeleton is produced. Two motion cues are determined from this skeletonization: body posture, and cyclic motion of skeleton segments. These cues are used to determine human activities such as walking or running, and even potentially, the target's gait. Unlike other methods, this does not require an a priori human model, or a large number of "pixels on target". Furthermore, it is computationally inexpensive, and thus ideal for real-world video applications such as outdoor video surveillance.

Publication: IEICE TRANSACTIONS on Information Vol.E87-D No.1 pp.113-120

Publication Date: 2004/01/01

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Type of Manuscript: Special Section PAPER (Special Section on Machine Vision Applications)

Category: Face

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Hironobu FUJIYOSHI, Alan J. LIPTON, Takeo KANADE, "Real-Time Human Motion Analysis by Image Skeletonization" in IEICE TRANSACTIONS on Information, vol. E87-D, no. 1, pp. 113-120, January 2004, doi: .
Abstract: In this paper, a process is described for analysing the motion of a human target in a video stream. Moving targets are detected and their boundaries extracted. From these, a "star" skeleton is produced. Two motion cues are determined from this skeletonization: body posture, and cyclic motion of skeleton segments. These cues are used to determine human activities such as walking or running, and even potentially, the target's gait. Unlike other methods, this does not require an a priori human model, or a large number of "pixels on target". Furthermore, it is computationally inexpensive, and thus ideal for real-world video applications such as outdoor video surveillance.
URL: https://globals.ieice.org/en_transactions/information/10.1587/e87-d_1_113/_p

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@ARTICLE{e87-d_1_113,
author={Hironobu FUJIYOSHI, Alan J. LIPTON, Takeo KANADE, },
journal={IEICE TRANSACTIONS on Information},
title={Real-Time Human Motion Analysis by Image Skeletonization},
year={2004},
volume={E87-D},
number={1},
pages={113-120},
abstract={In this paper, a process is described for analysing the motion of a human target in a video stream. Moving targets are detected and their boundaries extracted. From these, a "star" skeleton is produced. Two motion cues are determined from this skeletonization: body posture, and cyclic motion of skeleton segments. These cues are used to determine human activities such as walking or running, and even potentially, the target's gait. Unlike other methods, this does not require an a priori human model, or a large number of "pixels on target". Furthermore, it is computationally inexpensive, and thus ideal for real-world video applications such as outdoor video surveillance.},
keywords={},
doi={},
ISSN={},
month={January},}

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TY - JOUR
TI - Real-Time Human Motion Analysis by Image Skeletonization
T2 - IEICE TRANSACTIONS on Information
SP - 113
EP - 120
AU - Hironobu FUJIYOSHI
AU - Alan J. LIPTON
AU - Takeo KANADE
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E87-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2004
AB - In this paper, a process is described for analysing the motion of a human target in a video stream. Moving targets are detected and their boundaries extracted. From these, a "star" skeleton is produced. Two motion cues are determined from this skeletonization: body posture, and cyclic motion of skeleton segments. These cues are used to determine human activities such as walking or running, and even potentially, the target's gait. Unlike other methods, this does not require an a priori human model, or a large number of "pixels on target". Furthermore, it is computationally inexpensive, and thus ideal for real-world video applications such as outdoor video surveillance.
ER -