计算机科学 ›› 2016, Vol. 43 ›› Issue (7): 73-76.doi: 10.11896/j.issn.1002-137X.2016.07.012
• 2015年第二十四届全国多媒体学术会议 • 上一篇 下一篇
刘涛,吴泽民,姜青竹,曾明勇,彭韬频
LIU Tao, WU Ze-min, JIANG Qing-zhu, ZENG Ming-yong and PENG Tao-pin
摘要： 针对视觉目标识别算法实时性较差的问题,基于似物性提出一种面向视觉目标识别的可变部件模型改进算法。该算法首先对图像进行二进制归一化的似物性检测,并利用检测结果形成视觉目标候选框；然后使用目标识别算法对候选区域进行似然判决,比滑动窗口法缩短了搜索时间；最后通过一个快速扩大-缩小算法对检测目标进行尺度修正,提高目标框的准确度。在PASCAL 图像库上的识别结果表明:该识别方法在准确率上优于当前主流的检测模型,计算耗时较级联DPM算法减少约50%。
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