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A method for robust TV logo detection

《高技术通讯:英文版》2019年 第2期 | 潘达 Shi Ping Ying Zefeng Hou Ming Han Mingliang   Information Engineering College Communication University of China Beijing 100024 P.R.China
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摘 要:A robust TV logo detection method based on the modified single shot multibox detector (SSD) is presented. Unlike most other existing methods which can only detect the TV logo from video frames, the proposed method can also detect the TV logo from photo pictures taken by smartphones or other smart terminals. Firstly, using a simple and effective way of collecting and labelling TV logo, a large-scale TV logo dataset used to train the detection model is built. Then, parameters and loss function of SSD are modified to make it more suitable for the task of TV logo detection. Moreover, a soft-NMS algorithm is introduced to remove the redundant overlapping boxes and obtain the final output box. And also an approach for hard example mining is designed to improve the detection accuracy. Finally, extensive comparison experiments are carried out which take into consideration different image resolutions, logo positions and environmental factors existing in real-world applications. Experimental results demonstrate that the proposed method achieve superior performances in robustness compared to other state-of-the-art methods.
【分 类】【自然科学总论】
【关键词】 single shot multibox DETECTOR (SSD) TV LOGO detection TV LOGO DATASET LOSS function HARD example mining
【出 处】 《高技术通讯:英文版》2019年 第2期 144-152页 共9页
【收 录】 中文科技期刊数据库