Violent Interaction Detection in Video Based on Deep Learning
文献类型：会议论文
| 作者 | Ding QH(丁庆海); Luo HB(罗海波) ; Hou XL(侯幸林); Zhou PP(周培培)
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| 出版日期 | 2017 |
| 会议名称 | 6th Conference on Advances in Optoelectronics and Micro/Nano-Optics, AOM 2017 |
| 会议日期 | April 23-26, 2017 |
| 会议地点 | Nanjing, China |
| 页码 | 1-9 |
| 通讯作者 | Zhou PP(周培培) |
| 中文摘要 | Violent interaction detection is of vital importance in some video surveillance scenarios like railway stations, prisons or psychiatric centres. Existing vision-based methods are mainly based on hand-crafted features such as statistic features between motion regions, leading to a poor adaptability to another dataset. En lightened by the development of convolutional networks on common activity recognition, we construct a FightNet to represent the complicated visual violence interaction. In this paper, a new input modality, image acceleration field is proposed to better extract the motion attributes. Firstly, each video is framed as RGB images. Secondly, optical flow field is computed using the consecutive frames and acceleration field is obtained according to the optical flow field. Thirdly, the FightNet is trained with three kinds of input modalities, i.e., RGB images for spatial networks, optical flow images and acceleration images for temporal networks. By fusing results from different inputs, we conclude whether a video tells a violent event or not. To provide researchers a common ground for comparison, we have collected a violent interaction dataset (VID), containing 2314 videos with 1077 fight ones and 1237 no-fight ones. By comparison with other algorithms, experimental results demonstrate that the proposed model for violent interaction detection shows higher accuracy and better robustness. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议主办者 | Jiangsu Optical Society; Southeast University; The Optical Society of America |
| 会议录 | 6th Conference on Advances in Optoelectronics and Micro/Nano-Optics
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| 会议录出版者 | IOP |
| 会议录出版地 | Bristol, UK |
| 语种 | 英语 |
| ISSN号 | 1742-6588 |
| WOS记录号 | WOS:000412799900044 |
| 源URL | [http://ir.sia.cn/handle/173321/20795]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 作者单位 | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China 2.Key Laboratory of Opto-Electronic Information Processing CAS, Shenyang, 110016, China 3.The Key Lab of Image Understanding and Computer Vision, Liaoning Province, Shenyang, 110016, China 4.Space Star Technology Co. LTD, Beijing, 100086, China 5.University of Chinese Academy of Sciences, Beijing, 100049, China |
| 推荐引用方式 GB/T 7714 | Ding QH,Luo HB,Hou XL,et al. Violent Interaction Detection in Video Based on Deep Learning[C]. 见:6th Conference on Advances in Optoelectronics and Micro/Nano-Optics, AOM 2017. Nanjing, China. April 23-26, 2017. |
入库方式： OAI收割
来源：沈阳自动化研究所
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