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A Modular and Unified Framework for Detecting and Localizing Video Anomalies
[article]
2021
arXiv
pre-print
plug-and-play architecture, a sequential anomaly detector, a mathematical framework for selecting the detection threshold, and a suitable performance metric for real-time anomalous event detection in ...
event detection. ...
In summary, our contributions in this paper are as follows: • We present a systematic unified framework for online event detection and offline frame localization for video anomalies, and propose a new ...
arXiv:2103.11299v1
fatcat:cqip5pyg5bfzfgiocrmrr252p4
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge
2017
2017 IEEE International Conference on Computer Vision (ICCV)
Our approach first learns CNN with multiple visual tasks to exploit semantic information that is useful for detecting and recounting abnormal events. ...
Our approach outperforms the stateof-the-art on Avenue and UCSD Ped2 benchmarks for abnormal event detection and also produces promising results of abnormal event recounting. ...
This paper presents a framework that jointly detects and recounts abnormal events by integrating generic and environment-specific knowledge into a unified framework. ...
doi:10.1109/iccv.2017.391
dblp:conf/iccv/HinamiMS17
fatcat:hgwrqpuxqnfwxeetg6afjmcqqy
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge
[article]
2017
arXiv
pre-print
Our approach first learns CNN with multiple visual tasks to exploit semantic information that is useful for detecting and recounting abnormal events. ...
Our approach outperforms the state-of-the-art on Avenue and UCSD Ped2 benchmarks for abnormal event detection and also produces promising results of abnormal event recounting. ...
This paper presents a framework that jointly detects and recounts abnormal events by integrating generic and environment-specific knowledge into a unified framework. ...
arXiv:1709.09121v1
fatcat:ecuzpw6yxvcktgqcx2v4mc4snm
Panic Detection in Crowded Scenes
2020
Zenodo
The proposed method was evaluated considering two benchmark datasets and outperformed five existing methods. ...
In order to handle this challenge, this paper proposes the integration of different features into a unified model. ...
This framework renders a deep insight into the optimal feature extraction for anomaly detection. ...
doi:10.5281/zenodo.3748322
fatcat:3en2u23zpvgwnk6yy2ak7dbtzu
People and vehicles in danger - A fire and flood detection system in social media
2018
Zenodo
This paper presents a novel warning system framework for detecting people and vehicles in danger. ...
solving crisis events. ...
The same framework has also been deployed in UA-DETRAC vehicle detection dataset [18] , achieving a really high detection rate. ...
doi:10.5281/zenodo.1243993
fatcat:qixb3cngd5gqhddsjqitmg33dy
A Comprehensive Review of Group Activity Recognition in Videos
2021
International Journal of Automation and Computing
First, we provide a summary and comparison of 11 GAR video datasets in this field. ...
AbstractHuman group activity recognition (GAR) has attracted significant attention from computer vision researchers due to its wide practical applications in security surveillance, social role understanding ...
representation for event detection. ...
doi:10.1007/s11633-020-1258-8
fatcat:ycka4thcy5a6vghpenpthtrndi
PETS2009: Dataset and challenge
2009
2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance
A new section 2.1 on Benchmark Design has been added to include details on the general challenges in designing benchmarked datasets for the surveillance community. ...
Benchmark Design 53 The challenges in creating benchmark datasets for the performance eval-54 uation of automated visual surveillance methods are broad. ...
doi:10.1109/pets-winter.2009.5399556
fatcat:kwi7fui5mvev7khywikw54lgcq
A Research on Multi-View Video Summarization Techniques
2019
International Journal of Engineering and Advanced Technology
Generating Summary for Surveillance videos is more challenging because, videos Captured by surveillance cameras is long, contains uninteresting events, same scene recorded in different views leading to ...
, educational institutions, Offices, Hospitals are equipped with multiple surveillance cameras having overlapping field of view for security and environment monitoring purposes. ...
Event Bagging, Ensemble Video Summarization:
Table 2 Table 1 : 21 Benchmark dataset description
Dataset
No of views
Durations (mins)
Office
4
46:19
Lobby
3
24:42
BL-7F
19
136:10
Table ...
doi:10.35940/ijeat.a2985.109119
fatcat:2nznlbqinnek5d2a7ymeawbuvq
Pedestrian Detection and Tracking in Video Surveillance System: Issues, Comprehensive Review, and Challenges
[chapter]
2020
Computational Intelligence [Working Title]
Pedestrian detection and monitoring in a surveillance system are critical for numerous utility areas which encompass unusual event detection, human gait, congestion or crowded vicinity evaluation, gender ...
A brief summary of surveillance system along with comparisons of pedestrian detection and tracking technique in video surveillance is presented in this chapter. ...
A general framework of automated visual surveillance system is shown in Figure 2 [7] [8] [9] . ...
doi:10.5772/intechopen.90810
fatcat:y2shras2ivfsdjj67jpruhdiyy
Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems, and Evaluation
2013
Sensors
With the wide applications of vision based intelligent systems, image and video analysis technologies have attracted the attention of researchers in the computer vision field. ...
In the past, a large number of papers have been published on human activity recognition in video and image sequences. ...
General outdoor surveillance benchmark datasets and online evaluation service were provided in this workshop for the participants to evaluate their systems. ...
doi:10.3390/s130201635
pmid:23353144
pmcid:PMC3649413
fatcat:pssdgo3rpbak7czx6zn47rvjla
MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos
[article]
2020
arXiv
pre-print
We assigned the labels for two categories of vehicles (car and heavy vehicle). Furthermore, we propose a deep unified framework MOR-UAVNet for MOR in UAV videos. ...
Since, this is a first attempt for MOR in UAV videos, we present 16 baseline results based on the proposed framework over the MOR-UAV dataset through quantitative and qualitative experiments. ...
ACKNOWLEDGEMENTS The authors are highly grateful to IBM for providing with online GPU grant. The work was also supported by the DST-SERB project #EEQ/2017/000673. ...
arXiv:2008.01699v2
fatcat:hglqmhxmmzaqje5docjyq6q7dy
Survey on Deep Learning-Based Marine Object Detection
2021
Journal of Advanced Transportation
We present a survey on marine object detection based on deep neural network approaches, which are state-of-the-art approaches for the development of autonomous ship navigation, maritime surveillance, shipping ...
A widely accepted and standardized large-scale marine object verification dataset should be proposed. ...
Acknowledgments is work was supported in part by the Fundamental Research Funds for the Central Universities, Grant nos. 3132021130 and 3132019400. ...
doi:10.1155/2021/5808206
fatcat:y3epygwit5efxnlhv4hp7uodqy
Audio-visual Representation Learning for Anomaly Events Detection in Crowds
[article]
2021
arXiv
pre-print
We conduct the experiments on SHADE dataset, a synthetic audio-visual dataset in surveillance scenes, and find introducing audio signals effectively improves the performance of anomaly events detection ...
Compare with vision information that is easily occluded, audio signals have a certain degree of penetration. ...
The video clips in these two datasets are gained from movies and videos on internet. [42] is a typical method for video classification with VSD benchmark. ...
arXiv:2110.14862v1
fatcat:cxhpmy3irbgblkpoxlcmmajp6i
ReMotENet: Efficient Relevant Motion Event Detection for Large-scale Home Surveillance Videos
[article]
2018
arXiv
pre-print
To dramatically speedup relevant motion event detection and improve its performance, we propose a novel network for relevant motion event detection, ReMotENet, which is a unified, end-to-end data-driven ...
It can detect relevant motion on a 15s surveillance video clip within 4-8 milliseconds on a GPU and a fraction of second (0.17-0.39) on a CPU with a model size of less than 1MB. ...
Partial support from the Office of Naval Research under Grant N000141612713 (Visual Common Sense Reasoning for Multiagent Activity Prediction and Recognition) is acknowledged. ...
arXiv:1801.02031v1
fatcat:ksfahktdlvhuvhzxks4atoebrq
A Unifying Framework and Comparative Evaluation of Statistical and Machine Learning Approaches to Non-Specific Syndromic Surveillance
2021
Computers
In this work, we give an overview of non-specific syndromic surveillance from the perspective of machine learning and propose a unified framework based on global and local modeling techniques. ...
We also present a set of statistical modeling techniques which have not been used in a local modeling context before and can serve as benchmarks for the more elaborate machine learning approaches. ...
(2) We present a local and a global modeling strategy for non-specific syndromic surveillance in an unified framework. ...
doi:10.3390/computers10030032
fatcat:dbbfbdmbxzbbvmmoyamhq4llce
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