时空动作检测 (spatio-temporal action detection) : 输入一段视频,不仅需要识别视频中动作出现的区间和对应的类别,还要在空间范围内用一个包围框 (bounding box)标记出人物的空间位置。 一、算法介绍 ACT (《Action Tubelet Detector for Spatio-Temporal Action Localization》) YOWO(《You Only Watch Once: A Unif...
Li, "Action recognition by spatio-temporal oriented energies," Information Sciences, vol. 281, pp. 295-309, 2014.X. Zhen, L. Shao, and X. Li, "Action recognition by spatio- temporal oriented energies," Information Sciences, 2014.X. Zhen, L. Shao, X. Li, "Action recognition by spatio...
这篇论文是CVPR2018年的录取论文,主要讨论了时空卷积的几种网络结构,在Action Recognition 的几个标准数据集上也取得了媲美最好方法的效果。作者是FAIR的工作人员,其中包括Du Tran(C3D)作者,Heng Wang(iDT)作者和Yann LecCun等,可谓是大牛云集。论文可以在这里下载。这里大概介绍下论文中的内容,可以看作是原论文的...
Research in action detection has grown in the recent years, as it plays a key role in video understanding. Modelling the interactions (either spatial or temporal) between actors and their context has proven to be essential for this task. While recent works use spatial features with aggregated te...
以action recognition为代表的视频理解任务通常将视频当成一个单独的动作进行分析。相对应地,很多数据集对一个视频也用一个action进行标注。 虽然在图像领域,像scene graph这样的结构化表示已经被证明可以在很多任务上提升模型的性能。但在视频领域,视频动作的拆解(objects以及relationship的对应关系)还处于under-explored状态...
The task of action recognition or action detection involves analyzing videos and determining what action or motion is being performed. The primary subject of these videos are predominantly humans performing some action. However, this requirement can be relaxed to generalize over other subjects such as...
Robust action recognition methods lie at the cornerstone of Ambient Assisted Living (AAL) systems employing optical devices. Using 3D skeleton joints extracted from depth images taken with time-of-flight (ToF) cameras has been a popular solution for accomplishing these tasks. Though seemingly scarce ...
A Closer Look at Spatiotemporal Convolutions for Action Recognition. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018.) 根据论文中作者的描述,他提出的MCx、rMCx和(2+1)D,是2D与3D的Middle Ground,混合卷积可以用更少的参数量取得与3D相当的Performance。(2+1)D对时空表达做...
Collaborative Spatioitemporal Feature Learning for Video Action Recognition 摘要 时空特征提取在视频动作识别中是一个非常重要的部分。现有的神经网络模型要么是分别学习时间和空间特征(C2D),要么是不加控制地联合学习时间和空间
Feature extraction based traditional human action recognition algorithms are complicated, leading to low recognition accuracy. We present an algorithm for