关键词: 目标检测, 类无关和类相关, 梯度特征, 级联结构, 互补性

Abstract: To address the dilemma of trade-off between efficiency and accuracy for object detection,based on the mechanism of object perception and recognition in visual attention theory,the two sides derived from gradient feature as magnitude and direction have been revisited to manifest their complementary characteristics.The new rapid object detection model based on two-layer cascade with gradients is motivated,making two types of category-independent and category-dependent detectors efficiently described.On the one hand,gradient magnitude can be used to generate the efficient object proposal in clutter from sliding window samples which guarantees the significant decrease on the number of windows for candidate and speeds up detection.On the other hand,the cascade-architecture in form of multiple sub-detectors can well adapt to the varying scales of different objects resulting in boost of accuracy.Experimental performance in PASCAL presents the effectiveness of cascade structure for gradient features,and demonstrates that our model can dramatically speed up the detection with the advantages of comparable accuracy against the state-of-the-art.

Key words: object detection, category-independent and category-dependent, gradient feature, cascade structure, complementarity