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Volumn 4225 LNCS, Issue , 2006, Pages 481-490

Object recognition and tracking in video sequences: A new integrated methodology

Author keywords

Image segmentation; Neural networks; Object recognition; Object tracking; Probabilistic approach; Video sequences

Indexed keywords

HEURISTIC METHODS; IMAGE SEGMENTATION; INFORMATION RETRIEVAL; NEURAL NETWORKS; OPTIMIZATION; PROBABILISTIC LOGICS;

EID: 33845198441     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11892755_50     Document Type: Conference Paper
Times cited : (2)

References (11)
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    • Sept.
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    • Spotting recognition and tracking of a deformable object in a time-varying image using two-dimensional continuous dynamic programming
    • ISBN: 0-7695-2216-5
    • Yuya Iwasa, Ryuichi Oka "Spotting recognition and tracking of a deformable object in a time-varying image using two-dimensional continuous dynamic programming", CIT '04. The Fourth International Conference on Computer and Information Technology, ISBN: 0-7695-2216-5, pp:33-38. (2004).
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  • 7
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    • A probabilistic approach to simultaneous segmentation, object recognition, 3d localization, and tracking using stereo
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    • Von Wiehert, G.1
  • 8
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    • Object recognition in indoor video sequences by classifying image segmentation regions using neural networks
    • LNCS Springer Berlin / Heidelberg ISSN: 0302-9743, Chapter
    • Amézquita Gómez N. and Alquézar R. ,"Object Recognition in Indoor Video Sequences by Classifying Image Segmentation Regions Using Neural Networks", Proceedings 10th Iberoamerican Congress on Pattern Recognition, CIARP 2005, LNCS Springer Berlin / Heidelberg ISSN: 0302-9743, Vol. 3773, Chapter: pp. 93 - 102 (2005).
    • (2005) Proceedings 10th Iberoamerican Congress on Pattern Recognition, CIARP 2005 , vol.3773 , pp. 93-102
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.