메뉴 건너뛰기




Volumn 4, Issue 4, 1996, Pages 473-479

Vehicle detection and recognition in greyscale imagery

Author keywords

Classifiers; Cruise control; Image recognition; Tracking applications; Vehicles

Indexed keywords

ALGORITHMS; COLLISION AVOIDANCE; COMPUTER VISION; GROUND VEHICLES; IMAGE PROCESSING; INTELLIGENT CONTROL; MOTION CONTROL; NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS; STATISTICAL METHODS; TRACKING (POSITION);

EID: 0030127909     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/0967-0661(96)00028-7     Document Type: Article
Times cited : (118)

References (7)
  • 2
    • 0025751820 scopus 로고
    • Approximation capabilities of multilayer feedforward networks
    • Hornik, K. (1991). Approximation capabilities of multilayer feedforward networks. Neural Networks 4, 251-257.
    • (1991) Neural Networks , vol.4 , pp. 251-257
    • Hornik, K.1
  • 3
    • 0001590036 scopus 로고
    • Symmetry-based recognition of vehicle rears
    • Kuehnle, A. (1991). Symmetry-based recognition of vehicle rears. Pattern Recognition Letters 12, 249-258.
    • (1991) Pattern Recognition Letters , vol.12 , pp. 249-258
    • Kuehnle, A.1
  • 4
    • 0025670892 scopus 로고
    • The multilayer perceptron as an approximation to a Bayes optimal discriminant function
    • Ruck, D.W., S.K. Rogers, M. Kabrisky, M.E. Oxley and B.W. Suter (1990). The multilayer perceptron as an approximation to a Bayes optimal discriminant function. IEEE Trans. Neural Networks 1(4), 296-298.
    • (1990) IEEE Trans. Neural Networks , vol.1 , Issue.4 , pp. 296-298
    • Ruck, D.W.1    Rogers, S.K.2    Kabrisky, M.3    Oxley, M.E.4    Suter, B.W.5
  • 5
    • 0024883243 scopus 로고
    • Optimal unsupervised learning in a single-layered linear feedforward neural network
    • Sanger, T.D. (1989). Optimal unsupervised learning in a single-layered linear feedforward neural network. Neural Network 2, 459-473.
    • (1989) Neural Network , vol.2 , pp. 459-473
    • Sanger, T.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.