Invention Grant
US08447139B2 Object recognition using Haar features and histograms of oriented gradients 失效
使用Haar特征的对象识别和定向梯度的直方图

Object recognition using Haar features and histograms of oriented gradients
Abstract:
A system and method to detect objects in a digital image. At least one image representing at least one frame of a video sequence is received. A sliding window of different window sizes at different locations is placed in the image. A cascaded classifier including a plurality of increasingly accurate layers is applied to each window size and each location. Each layer includes a plurality of classifiers. An area of the image within a current sliding window is evaluated using one or more weak classifiers in the plurality of classifiers based on at least one of Haar features and Histograms of Oriented Gradients features. An output of each weak classifier is a weak decision as to whether the area of the image includes an instance of an object of a desired object type. A location of the zero or more images associated with the desired object type is identified.
Information query
Patent Agency Ranking
0/0