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Volumn , Issue , 2014, Pages

Combining 3D Shape, Color, and Motion for Robust Anytime Tracking

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION;

EID: 85068957967     PISSN: None     EISSN: 2330765X     Source Type: Conference Proceeding    
DOI: 10.15607/RSS.2014.X.014     Document Type: Conference Paper
Times cited : (66)

References (31)
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  • 5
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    • The multi-iterative closest point tracker: An online algorithm for tracking multiple interacting targets
    • Adam Feldman, Maria Hybinette, and Tucker Balch. The multi-iterative closest point tracker: An online algorithm for tracking multiple interacting targets. Journal of Field Robotics, 29(2):258–276, 2012.
    • (2012) Journal of Field Robotics , vol.29 , Issue.2 , pp. 258-276
    • Feldman, Adam1    Hybinette, Maria2    Balch, Tucker3
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    • 84887278590 scopus 로고    scopus 로고
    • Joint self-localization and tracking of generic objects in 3d range data
    • Frank Moosmann and Christoph Stiller. Joint self-localization and tracking of generic objects in 3d range data. In ICRA, pages 1146–1152, 2013.
    • (2013) ICRA , pp. 1146-1152
    • Moosmann, Frank1    Stiller, Christoph2
  • 15
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    • Modeling multiscale differential pixel statistics
    • International Society for Optics and Photonics
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    • Rose, Kenneth1
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    • Julian Ryde and Huosheng Hu. 3d mapping with multiresolution occupied voxel lists. Autonomous Robots, 28 (2):169–185, 2010.
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    • Ryde, Julian1    Hu, Huosheng2
  • 24
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    • Probabilistic robot navigation in partially observable environments
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.