Multiple likelihoods and state noises based particle filter for long-lived full occlusion handling

Chengjiao Guo, Ying Lu, Xiangzhong Fang, Takeshi Ikenaga

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Reliable object tracking in complex visual environment is a challenging problem in the field of computer vision. One of the common problems in object tracking is partial and full object occlusions. And especially in the condition of long-lived full occlusion during which the full occlusion lasts for tens of frames, the tracking is more difficult. This paper proposes an occlusion handling scheme based on particle filter. Compared with the standard particle filter, multiple likelihood models - HSV color likelihood and gradient orientation likelihood, are employed in the observation model for occlusion handling. Also, multiple state noises are introduced under occlusion. Experiment results demonstrate the robust and accurate tracking performance in the condition of long-lived full occlusion.

本文言語English
ホスト出版物のタイトル2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010
DOI
出版ステータスPublished - 2010 11 25
イベント2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010 - Chengdu, China
継続期間: 2010 9 232010 9 25

出版物シリーズ

名前2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010

Conference

Conference2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010
CountryChina
CityChengdu
Period10/9/2310/9/25

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

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