On-line inverse multiple instance boosting for classifier grids
نویسندگان
چکیده
منابع مشابه
On-line inverse multiple instance boosting for classifier grids
Classifier grids have shown to be a considerable choice for object detection from static cameras. By applying a single classifier per image location the classifier's complexity can be reduced and more specific and thus more accurate classifiers can be estimated. In addition, by using an on-line learner a highly adaptive but stable detection system can be obtained. Even though long-term stabilit...
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A good image object detection algorithm is accurate, fast, and does not require exact locations of objects in a training set. We can create such an object detector by taking the architecture of the Viola-Jones detector cascade and training it with a new variant of boosting that we call MILBoost. MILBoost uses cost functions from the Multiple Instance Learning literature combined with the AnyBoo...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2012
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2011.11.008