Multiple deep features learning for object retrieval in surveillance videos
Guo, Haiyun; Wang, Jinqiao; Lu, Hanqing
2016-02-26
发表期刊IET COMPUTER VISION
卷号10期号:4页码:268-271
文章类型Article
摘要Efficient indexing and retrieving objects of interest from large-scale surveillance videos are a significant and challenging topic. In this study, the authors present an effective multiple deep features learning approach for object retrieval in surveillance videos. Based on the discriminative convolutional neural network (CNN), they can learn multiple deep features to comprehensively describe the visual object. To be specific, they utilise the CNN model pre-trained on ImageNet ILSVRC12 and fine-tuned on our dataset to abstract structure information. In addition, they train another CNN model supervised by 11 colour names to deliver the colour information. To improve the retrieval performance, the deep features are encoded into short binary codes by locality-sensitive hash and fused to fast retrieve the object of interest. Retrieval experiments are performed on a dataset of 100k objects extracted from multi-camera surveillance videos. Comparison results with other common visual features show the effectiveness of the proposed approach.
关键词Object Retrieval Multiple Deep Features Learning Convolutional Neural Network
WOS标题词Science & Technology ; Technology
DOI10.1049/iet-cvi.2015.0291
收录类别SCI
语种英语
项目资助者863 Program(2014AA015104) ; National Natural Science Foundation of China(61273034 ; 61332016)
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000380260100005
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12168
专题模式识别国家重点实验室_图像与视频分析
通讯作者Wang, Jinqiao
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, 95 Zhongguancun East Rd, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Guo, Haiyun,Wang, Jinqiao,Lu, Hanqing. Multiple deep features learning for object retrieval in surveillance videos[J]. IET COMPUTER VISION,2016,10(4):268-271.
APA Guo, Haiyun,Wang, Jinqiao,&Lu, Hanqing.(2016).Multiple deep features learning for object retrieval in surveillance videos.IET COMPUTER VISION,10(4),268-271.
MLA Guo, Haiyun,et al."Multiple deep features learning for object retrieval in surveillance videos".IET COMPUTER VISION 10.4(2016):268-271.
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