| Liu Peng (刘鹏),Li Songbin,Deng Haojiang,Wang Jinlin.[J].高技术通讯(英文),2016,22(2):215~223 |
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| Intelligent outdoor video advertisement recommendation system based on analysis of audiences’ characteristics |
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| DOI：10.3772/j.issn.1006-6748.2016.02.014 |
| 中文关键词: |
| 英文关键词: face detection, face tracking, intelligent recommendation system, outdoor video advertisement |
| 基金项目: |
| Author Name | Affiliation | | Liu Peng (刘鹏) | | | Li Songbin | | | Deng Haojiang | | | Wang Jinlin | |
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| 中文摘要: |
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| 英文摘要: |
| An integrated implementation framework of an intelligent recommendation system for outdoor video advertising is proposed, which is based on the analysis of audiences’ characteristics. Firstly, the images of the scene and the people who view the video advertisements are captured by the network camera deployed on the video advertising terminal side. Then audiences’ characteristics can be obtained by applying computer vision technologies: face detection, face tracking, gender recognition and age estimation. Finally, an intelligent recommendation algorithm is designed to decide the most fitting video ads for each terminal according to multi-dimensional statistical information of its audiences’ characteristics. The experimental results show that the proposed system can effectively improve the audience arrival rate of the video advertisements by an average growth of 27.04%. Moreover, a novel face detection method and a new face tracking method have been proposed to meet the practical requirements of the system, of which the average F1-score is 0.988 and 0.951 respectively. |
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