Principled detection-by-classification from multiple views

VISAPP 2008 - 3rd International Conference on Computer Vision Theory and Applications, Proceedings

Volumn 2, Issue , 2008, Pages 375-382

  Berclaz, Jérôme ^a   Fleuret, François ^b   Fua, Pascal ^a  

^a EPFL   (Switzerland)

^b IDIAP RESEARCH INSTITUTE   (Switzerland)

Author keywords

Bayesian framework; Classification; People detection

Indexed keywords

CLASSIFIERS; COMPUTER VISION; HEURISTIC METHODS; IMAGE PROCESSING; LEARNING SYSTEMS; PROGRAMMING THEORY;

AD-HOC HEURISTICS; BAYESIAN APPROACHES; BAYESIAN FRAMEWORK; CLASSIFICATION; CLASSIFICATION TASKS; CLASSIFICATION TECHNIQUES; COMPLEX SCENES; DETECTING OBJECTS; FALSE POSITIVES; MACHINE-LEARNING; MARGINAL PROBABILITIES; METRIC ACCURACIES; MULTI VIEWS; MULTIPLE CLASSIFICATIONS; MULTIPLE VIEWS; ORDER OF MAGNITUDES; PEDESTRIAN DETECTIONS; PEOPLE DETECTION; POST-PROCESSING; RESPONSE MODELS; STATE-OF-THE-ART APPROACHES;

BAYESIAN NETWORKS;

EID: 57549090869     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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