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Action recognition by jointly using video proposal and trajectory
Qi, Lei1,2; Lu, Xiaoqiang1; Li, Xuelong1,2
2018-08-27
会议名称2nd International Conference on Vision, Image and Signal Processing, ICVISP 2018
会议录名称Proceedings of the 2nd International Conference on Vision, Image and Signal Processing, ICVISP 2018
会议日期2018-08-27
会议地点Las Vegas, NV, United states
出版者Association for Computing Machinery
产权排序1
摘要As a popular research field in computer vision community, human action recognition in videos is a challenging task. In recent years, trajectory based methods have been proven effective for action recognition. However, because trajectory is generated around motion region, trajectory based methods often only pay attention to regions with high motion salience in video and ignore motionless but semantic objects. To compensate the shortage of trajectory based methods, video proposal is utilized for its ability to discover semantic object in this paper. In the proposed method, video proposal and trajectory are extracted simultaneously to capture motion information and object information. The proposed method can be divided into three steps: 1) trajectories and video proposals are extracted from video to capture motion information and object information respectively; 2) a trained Convolution Neural Network (CNN) model is employed to describe the extracted trajectories and video proposals; 3) the holistic representation of video is constructed by Fisher Vector model and then input to classifier to get the action label. The complementarity between trajectory and video proposal enables the discrimination power of the proposed method for kinds of actions. The proposed method is evaluated on UCF101 and HMDB51, on which the promising results prove the effectiveness of the proposed method. © 2018 ACM.
作者部门光学影像学习与分析中心
DOI10.1145/3271553.3271563
收录类别EI
ISBN号9781450365291
语种英语
EI入藏号20185106273444
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/31107
专题光学影像学习与分析中心
作者单位1.Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, Shanxi; 710119, China;
2.University of Chinese Academy of Sciences, Beijing; 100049, China
推荐引用方式
GB/T 7714
Qi, Lei,Lu, Xiaoqiang,Li, Xuelong. Action recognition by jointly using video proposal and trajectory[C]:Association for Computing Machinery,2018.
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