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2018-10-16 04:11 来源:未知 手机看新闻

Viola–Jones object detection framework--新濠娱乐城 Obj

[提要]Abstract This paper describes a machine learning approach for visual object detection which is capabl...

  Abstract

  This paper describes a machine learning approach for visual object detection which is capable of processing images extremely 新濠天地娱乐ly and achieving high detection rates. This work is distinguished by three key contributions. The first is the introduction of a new image r新濠天地娱乐esentation called the “Integral Image” which allows the features used by our detector to be computed very quickly. The second is a learning algorithm, based on AdaBoost, which selects a small number of critical visual features from a larger set and yields extremely efficient classifiers[6]. The third contribution is a method for combining increasingly more complex classi- fiers in a “cascade” which allows background regions of the image to be quickly discarded while spending more compu- tation on promising object-like regions. The cascade can be viewed as an object specific focus-of-attention mechanism which unlike previous approaches provides statistical guar- antees that discarded regions are unlikely to contain the ob- ject of interest. In the domain of face detection the system yields detection rates comparable to the best previous sys- tems. Used in real-time 新濠天地娱乐, the detector runs at 15 frames per second without resorting to image differenc- ing or skin color detection.

  摘要

  本文描绘了壹个视觉目的检测的机具念书法,它却以什分快快地处理图像同时能完成高检测快比值。此雕刻项工干却分为叁个花样翻新性切磋效实。第壹个是壹种新的图像表征说皓,称为“积分图”,它容许我们的检测的特点足以很快地计算出产到来。第二个是壹个念书算法,基于Adaboost己顺应增强大法,却以从壹些更父亲的设置和产量极为拥有效的分类器当选择出产几个关键的视觉特点。第叁个效实是壹个方法:用壹个“级联”的方法时时侵犯分类器,此雕刻么便容许图像的背景区域被很快放丢丢,从而将更多的计算放在能是目的的区域上。此雕刻个级联却以视干壹个目的特定的剩意力集儿子合机制,它不像先前的道路供统计保障,保障舍掉落的地区不太能包罗感志趣的对象。在人脸检测范畴,此体系的检测比值比得上之前体系的最佳值。在实时监测的运用中,探测器以每秒15帧快度运转,不采取帧差值或肤色检测的方法。

  

  Figure 2: The sum of the pixels within rectangle D can be computed with four array references. The value of the integral image at location 1 is the sum of the pixels in rectangle A. The value at location 2 is A+B , at location 3 is A+C, and at location 4 is A+B+C+D. The sum within D can be computed as 4+1-(2+3).

  矩形D内的像斋和却以按四个数组计算。位置1的积分图像的值坚硬是矩形A中的像斋之和。位置2的值是A+B,位置3的值是A+C,而位置4的值是A+B+C+D。这么D中的像斋和坚硬是4+1-(2+3)。

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