Transfer learning for pedestrian detection

Neurocomputing

Volumn 100, Issue , 2013, Pages 51-57

  Cao, Xianbin ^a   Wang, Zhong ^b   Yan, Pingkun ^c   Li, Xuelong ^c  

^a BEIHANG UNIVERSITY   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c XI AN INSTITUTE OF OPTICS AND PRECISION MECHANICS   (China)

Author keywords

Manifold learning; Pedestrian detection; Scene change; Transfer learning

Indexed keywords

BENCHMARK DATASETS; CLASSIFICATION MODELS; DATA SETS; FEATURE SPACE; MANIFOLD LEARNING; NUMBER OF SAMPLES; PEDESTRIAN DETECTION; SCENE CHANGE; SCENE COMPLEXITY; SCREENING METHODS; TRAINING DATASET; TRAINING SAMPLE; TRAINING SETS; TRANSFER LEARNING;

BENCHMARKING; SAMPLING; STATISTICAL TESTS;

SCREENING;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER ANALYSIS; CONTROLLED STUDY; IMAGE ANALYSIS; IMAGE QUALITY; INFORMATION PROCESSING; INTERMETHOD COMPARISON; LEARNING ALGORITHM; MATHEMATICAL ANALYSIS; PEDESTRIAN; PEDESTRIAN DETECTION METHOD; PRIORITY JOURNAL; THREE DIMENSIONAL IMAGING; TRANSFER LEARNING ALGORITHM; VALIDATION STUDY;

EID: 84868612368     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.12.043     Document Type: Article

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