OBJECT DETECTION WITH ADAPTIVE CHANNEL FEATURES

In accordance with some embodiments Adaptive Channel Features may be implemented by determining random features. The random features may be determined by defining a maximum allowed feature size of training samples. Then random filter positions of a training sample are sampled. Thereafter, pixel weights in a patch of the maximum allowed feature size are calculated. A feature is selected for applying a boosted classifier. 根据些实施例，可以通过确定随机特征来实现自适应通道特征。可以通过定义训练样本的最大允许特征尺寸来确定随机特征。然后，对训练样本的随机过滤位置进行采样。此后，计算最大允许特征尺寸的补片中的像素权重。选择用于应用增强的分类器的特征。