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...
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...
[2017-ACMMM]Spatio-Temporal AutoEncoder for Video Anomaly Detection视频中异常检测 大家好,第一篇文章是来自ACMMM,作者团队为阿里巴巴。选择这篇的原因是觉得这篇文章简单有效,与我之前很多想法都不谋而合。 1. 什么是异常行为检测? 就目前而言,视频中的异常行为检测就是给定一部分只包含正常行为的样本片段,在此...
另外一个创新点是关于异常评分的: 把生成器部分产生的预测误差算作一部分,鉴别器部分产生的真、假序列得分差算作一部分,两部分成比例结合在一起作为最终的得分判据。 最后,基于图卷积网络层进一步合并三个模块的输出,得到最终预测结果。 最后修订时间:2024年3月27日10:21:23...
Summary: The detection of outliers from spatio-temporal data is an important task due to the increasing amount of spatio-temporal data available and the need to understand and interpret it. Due to the limitations of current data mining techniques, new techniques to handle this data need to be ...
This paper proposes an innovative 3D stationary wavelet-based motion detection technique that fuses spatial and temporal analysis in a single 3D transform. This single transform is composed of applying a 2D transform in the spatial domain followed by 1D transform in the time domain. The results of...
Visual saliency detection is an important step in many computer vision applications, since it reduces further processing steps to regions of interest. Saliency detection in still images is a well-studied topic. However, videos scenes contain more information than static images, and this additional te...
Optimal behavior relies on flexible adaptation to environmental requirements, notably based on the detection of errors. The impact of error detection on su... AL Manuel,F Bernasconi,MM Murray,... - 《Cognitive Neuroscience Journal of》 被引量: 20发表: 2012年 Crowd Event Perception Based on Sp...
Moving object detection is an important component of a traffic surveillance system. Usual background subtraction approaches often poorly perform on a long outdoor traffic video due to vehicles waiting at an intersection and gradual changes of illumination and background shadow position. We present a ...
This paper explores efficient use of mobile sensors to address the limitations of static WSNs in target detection. We propose a data fusion model that enables static and mobile sensors to effectively collaborate in target detection. An optimal sensor movement scheduling algorithm is developed to ...