New object detection features in the OpenCV library
P. N. Druzhkov, Victor Erukhimov, Nikolai Yu. Zolotykh, Evgeny A. Kozinov, Валентина Дмитриевна Кустикова, Iosif B. Meyerov, А. Н. Половинкин · Pattern Recognition and Image Analysis · 2011
In this work the object detection problem is considered. A short description of implementations of the object detection system with a discriminatively trained part based model and a gradient boosting trees algorithm (as part of OpenCV library) is given. Application of the gradient boosting trees learner to the object detection problem (in terms of the pedestrian detection problem) is explored.