Robust approach for interesting points extraction of moving human from 2D videos

Yu Xiang, Yoshihiro Okada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Human action recognition is a key technique for content-based video retrieval. Because a human motion consists of several sequential poses of the human, specifying each poses of the human motion is required for human action recognition. In this paper, the authors focus on end points and joint points of a human skeleton as interesting points obtainable from the human silhouette image of each video frame including a human motion because those points are important for specifying human poses in the human motion. This paper presents a stable and effective end points and joint points extraction method for the human body from 2D videos. The authors employ a perfect foreground object segmentation algorithm by background subtraction to obtain a moving object. Morphological and connection labeling-based algorithms are then performed on foreground objects. In addition, the paper considers the cast shadow and skeleton pruning problem which will influence the accuracy of the interesting points extraction. The experiments also show the good results of the proposed method.

Original languageEnglish
Title of host publicationInformation Search, Integration, and Personalization - 10th International Workshop, ISIP 2015, Revised Selected Papers
EditorsYuzuru Tanaka, Emanuel Grant, Dimitris Kotzinos, Dominique Laurent, Nicolas Spyratos
PublisherSpringer Verlag
Pages88-104
Number of pages17
ISBN (Print)9783319438610
DOIs
Publication statusPublished - 2016
Event10th International Workshop on Information Search, Integration, and Personalization, ISIP 2015 - Grand Forks, United States
Duration: Oct 1 2015Oct 2 2015

Publication series

NameCommunications in Computer and Information Science
Volume622
ISSN (Print)1865-0929

Other

Other10th International Workshop on Information Search, Integration, and Personalization, ISIP 2015
Country/TerritoryUnited States
CityGrand Forks
Period10/1/1510/2/15

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

Fingerprint

Dive into the research topics of 'Robust approach for interesting points extraction of moving human from 2D videos'. Together they form a unique fingerprint.

Cite this