Rapid object detection using a boosted cascade of simple features

@misc{citeulike:201537, abstract = {This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This work is distinguished by three key contributions. The first is the introduction of a new image representation called the \"Integral Image\" which allows the features used by our detector to be computed very quickly. The second is a learning algorithm, based on AdaBoost, which selects a small number of critical visual features ...}, author = {Viola, P. and Jones, M. }, citeulike-article-id = {201537}, keywords = {adaboost, cascade, detection, face}, posted-at = {2007-06-01 01:19:15}, priority = {2}, title = {Rapid object detection using a boosted cascade of simple features}, url = {http://citeseer.ist.psu.edu/viola01rapid.html}, year = {2001} }

TY - GEN ID - citeulike:201537 L3 - citeulike-article-id:201537 TI - Rapid object detection using a boosted cascade of simple features N2 - This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This work is distinguished by three key contributions. The first is the introduction of a new image representation called the "Integral Image" which allows the features used by our detector to be computed very quickly. The second is a learning algorithm, based on AdaBoost, which selects a small number of critical visual features ... KW - adaboost KW - cascade KW - detection KW - face AU - Viola, P AU - Jones, M PY - 2001/// UR - http://citeseer.ist.psu.edu/viola01rapid.html ER -