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Volumn 1, Issue , 2010, Pages 349-352

Object tracking based on local feature points

Author keywords

Feature matching; Local featur; Random sample consensus; Speeded up robust feature; Video processing

Indexed keywords

FEATURE MATCHING; LOCAL FEATUR; RANDOM SAMPLE CONSENSUS; SPEEDED-UP ROBUST FEATURE; VIDEO PROCESSING;

EID: 78650577847     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2010.5648034     Document Type: Conference Paper
Times cited : (4)

References (15)
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  • 5
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  • 6
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    • Cheung, W.1    Hamarneh, G.2
  • 7
    • 51849110302 scopus 로고    scopus 로고
    • Video object matching based on SIFT algorithm
    • June
    • Xuelong Hu, Yingcheng Tang, Zhenghua Zhang, "Video object matching based on SIFT algorithm", ICNNSP, June 2008, pp. 412-415.
    • (2008) ICNNSP , pp. 412-415
    • Hu, X.1    Tang, Y.2    Zhang, Z.3
  • 9
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    • Mean shift tracking combining SIFT
    • Oct.
    • Ai-hua Chen, Ming Zhu, Yan-hua Wang, Chen Xue. "Mean shift tracking combining SIFT", ICSP, Oct. 2008, pp. 1532-1535.
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  • 10
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    • July
    • Peiliang Wu, Lingfu Kong, Fengda Zhao, Xianshan Li, "Particle filter tracking based on color and SIFT features", ICALIP, July 2008, pp. 932-937.
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  • 13
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    • Speeded-Up Robust Features (SURF)
    • Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc Van Gool, "Speeded-Up Robust Features (SURF)", CVIU, 2008, pp. 1077-3142.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.