Human detection using motion and appearance based feature

Shaopeng Tang, Satoshi Goto

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

An approach to detect moving and standing human from video is proposed in this paper. Human detection from videos is a difficult problem because of motion of human, camera and background. In order to detect moving human, the dense optical flow is calculated by two consecutive frames, to represent the motion of human. Motion based feature is extracted from optical flow field. It not only represents the global motion caused by the boundary of human body, but also contains local motion caused by the limbs. Motion based feature is combined with histogram of template feature, which is designed to detect standing human, as final feature for detection. Experiment on CAS dataset shows that this feature has more discriminative ability than other motion based feature. Besides, this feature is easier for hardware acceleration, which makes it suitable for real time application.

本文言語English
ホスト出版物のタイトルICICS 2009 - Conference Proceedings of the 7th International Conference on Information, Communications and Signal Processing
DOI
出版ステータスPublished - 2009
イベント7th International Conference on Information, Communications and Signal Processing, ICICS 2009 - Macau Fisherman's Wharf
継続期間: 2009 12 82009 12 10

Other

Other7th International Conference on Information, Communications and Signal Processing, ICICS 2009
CityMacau Fisherman's Wharf
Period09/12/809/12/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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