Patent ID: 9020198
Filing Date: 2015-04-28
Classification: G06K

Abstract:
1. A method for object detection, comprising: receiving an image; segmenting the image; extracting features from the image; and performing a dimension-wise spatial layout selection to pick up dimensions inside a discriminative spatial region for classification, wherein comprising for each boosting classifier, the learning process obtains a set of weak classifiers H for separating the positive samples from negative ones: where Q represents a candidate bounding box, i t is an index of the region selected in a t th round of training, N i is a total number of regionlets in region R i , and β t is a weight of a selected weak classifier, T is a feature representation for respective region R or regionlet prototype r′, subscript j th refers to a feature extracted from the j th regionlet r j in R, α j is a binary variable, R′ is a feature region protype.