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Volumn 122, Issue , 2011, Pages 613-623

Affine object tracking using kernel-based region covariance descriptors

Author keywords

Affine object tracking; Gradient descent; Log Euclidean Riemannian metric; Region covariance descriptors

Indexed keywords

AFFINE TRANSFORMATIONS; COVARIANCE MATCHING; DESCRIPTORS; FIRST DERIVATIVE; GRADIENT DESCENT; GRADIENT DESCENT METHOD; IMAGE REGIONS; KERNEL FUNCTION; LOG-EUCLIDEAN; OBJECT REGION; OBJECT TRACKING; OPTIMIZATION PROBLEMS; REGION COVARIANCE; REGION SIMILARITY; RIEMANNIAN METRICS; ROBUST PERFORMANCE; SECOND ORDER STATISTICS; SIMILARITY MEASURE; TRACKING METHOD; VISUAL TRACKING;

EID: 84555170646     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-25664-6_72     Document Type: Conference Paper
Times cited : (6)

References (17)
  • 1
    • 85067705986 scopus 로고    scopus 로고
    • Non-rigid object localization and segmentation using eigenspace representation
    • Arif, O., Vela, A., et al.: Non-rigid object localization and segmentation using eigenspace representation. In: IEEE 12th International Conference on Computer Vision, pp. 803-808 (2009)
    • (2009) IEEE 12th International Conference on Computer Vision , pp. 803-808
    • Arif, O.1    Vela, A.2
  • 15
    • 79951950840 scopus 로고    scopus 로고
    • Kernel based object tracking using asymmetric kernels with adaptive scale and orientation selection
    • Yilmaz, A.: Kernel Based Object Tracking Using Asymmetric Kernels with Adaptive Scale and Orientation Selection. Machine Vision and Applications 22(2), 255-268 (2011)
    • (2011) Machine Vision and Applications , vol.22 , Issue.2 , pp. 255-268
    • Yilmaz, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.