Therefore, real-time, automatic and accurate detection of abnormal events has become the main goal of video-based surveillance systems. To achieve this goal, many researchers have conducted in-depth research on online video anomaly detection. This paper presents the background of the research in ...
在ECCV 16, Geest et al [] 明确提出online action detection,给出了一个比较全面的问题定义,测试方式和一个新数据集 (视频取材于美剧,长度在20分钟左右,我觉得这个数据集拿来做offline/online detection 都还是不错的)。问题定义是 “Given a streaming video as input, the system should output, ideally in ...
An integration of Pseudo Anomalies and Memory Augmented Autoencoder for Video Anomaly Detection Video anomaly detection (VAD) has received a lot of attention from the research community in recent years. The purpose of VAD is to identify the anomalous ... A Le,QU Nguyen,NT Nguyen,... - 《Pr...
基于《Online-Anomaly-Detection-in-Crowded-Scenes》,该算法能够在视频序列中实时处理帧,计算出时间占用变化和熵指标,并基于这些指标检测拥挤场景中的异常事件。通过分析临时占用情况和图像的复杂度,它能够识别出与正常行为不符的行为模式,从而提高对异常事件的检测准确性。Given a video sequence, the algorithm can ...
Anomaly Detector Understanding the positive and negative trends in business Anomaly detection is a technique used to identify unusual or out-of-the-ordinary behavior that does not conform with the normal trend of a business. For example, a sudden dip in purchases, lead conversions, or an ...
Then, object detection is introduced on the entire scene and the region of interest is highlighted with a bounding box to minimize human intervention in video stream processing. At recognition time, the network generates an alarm for the presence of an anomaly to notify of the identification of ...
This research has investigated an automatic online crowd anomaly detection model by exploring a novel compound image descriptor from video streams and the training of a deep learning network based on these descriptor instances. In this paper, the work reported has focused on: 1) creating spatio-...
Uni-directional graph structure learning-based multivariate time series anomaly detection with dynamic prior knowledge Authors (first, second and last of 5) Shiming He Genxin Li Pradip Kumar Sharma Content type: Original Article Published: 24 May 2024 Prompt-based data labeling method for aspect...
This article presents a video-based traffic analysis and anomaly detection system covering the complete data processing pipeline, including sensor data acquisition, analysis, and digital twin reconst...
Shah N, Beutel A, Hooi B, Akoglu L, Gunnemann S, Makhija D, Kumar M, Faloutsos C (2017) EdgeCentric: Anomaly Detection in Edge-Attributed Networks. In: Proc. IEEE Int. Conf. on Data Mining Workshops. IEEE, pp 327–334. 1510.05544v2 ...