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Building a Custom Crime Detection Dataset and Implementation Machine Learning Models for Video Analysis

https://doi.org/10.2139/ssrn.4820879

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Not only Look, But Also Listen: Learning Multimodal Violence Detection Under Weak Supervision

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HR-Crime: Human-Related Anomaly Detection in Surveillance Videos

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Understanding the Smart City Domain: A Literature Review

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Spatio-temporal Object Detection Proposals

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Weakly Supervised Action Labeling in Videos under Ordering Constraints

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Connectionist Temporal Modeling for Weakly Supervised Action Labeling

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Face Detection and Recognition Based on Deep Learning in the Monitoring Environment

inferredcites →https://doi.org/10.1007/s11042-020-09406-3openalex-extracted

CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks

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Urban planning and building smart cities based on the Internet of Things using Big Data analytics

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A new dataset evaluation method based on category overlap

inferredcites →https://doi.org/10.1016/j.future.2017.08.006openalex-extracted

Real-time secure communication for Smart City in high-speed Big Data environment

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Series mining for public safety advancement in emerging smart cities

inferredcites →https://doi.org/10.1016/j.patrec.2021.01.031openalex-extracted

Iterative weak/self-supervised classification framework for abnormal events detection

inferredcites →https://doi.org/10.1016/j.pmcj.2019.01.003openalex-extracted

Spatio-temporal crime predictions in smart cities: A data-driven approach and experiments

inferredcites →https://doi.org/10.1016/s0169-2070(03)00092-xopenalex-extracted

Short-term forecasting of crime

inferredcites →https://doi.org/10.1049/ipr2.12258openalex-extracted

Anomaly detection in video sequences: A benchmark and computational model

inferredcites →https://doi.org/10.1109/access.2018.2883560openalex-extracted

Person Re-Identification by Multi-Camera Networks for Internet of Things in Smart Cities

inferredcites →https://doi.org/10.1109/access.2019.2932114openalex-extracted

A Review on State-of-the-Art Violence Detection Techniques

inferredcites →https://doi.org/10.1109/cvpr.2018.00678openalex-extracted

Real-World Anomaly Detection in Surveillance Videos

inferredcites →https://doi.org/10.1109/cvpr.2018.00873openalex-extracted

Unsupervised Learning and Segmentation of Complex Activities from Video

inferredcites →https://doi.org/10.1109/cvpr.2019.00133openalex-extracted

Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection

inferredcites →https://doi.org/10.1109/cvpr.2019.01234openalex-extracted

Unsupervised Learning of Action Classes With Continuous Temporal Embedding

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00125openalex-extracted

ActionBytes: Learning From Trimmed Videos to Localize Actions

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00947openalex-extracted

Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01517openalex-extracted

Learning Normal Dynamics in Videos with Meta Prototype Network

inferredcites →https://doi.org/10.1109/cvpr52688.2022.01951openalex-extracted

UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection

inferredcites →https://doi.org/10.1109/icassp.2019.8683676openalex-extracted

Detection of Real-world Fights in Surveillance Videos

inferredcites →https://doi.org/10.1109/iccv.2015.362openalex-extracted

Learning to Track for Spatio-Temporal Action Localization

inferredcites →https://doi.org/10.1109/iccv.2017.620openalex-extracted

Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos

inferredcites →https://doi.org/10.1109/iccv.2019.00717openalex-extracted

Learning Temporal Action Proposals With Fewer Labels

inferredcites →https://doi.org/10.1109/iccv48922.2021.00493openalex-extracted

Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning

inferredcites →https://doi.org/10.1109/iceccme57830.2023.10252382openalex-extracted

Machine learning based models for detecting attacks in IoT systems

inferredcites →https://doi.org/10.1109/icicis46948.2019.9014714openalex-extracted

Violence Recognition from Videos using Deep Learning Techniques

inferredcites →https://doi.org/10.1109/icpr48806.2021.9412502openalex-extracted

RWF-2000: An Open Large Scale Video Database for Violence Detection

inferredcites →https://doi.org/10.1109/tip.2021.3072863openalex-extracted

Localizing Anomalies From Weakly-Labeled Videos

inferredcites →https://doi.org/10.1109/tpami.2022.3193611openalex-extracted

Deep Learning-Based Action Detection in Untrimmed Videos: A Survey

inferredcites →https://doi.org/10.1109/tvt.2019.2918576openalex-extracted

SPATH: Finding the Safest Walking Path in Smart Cities

inferredcites →https://doi.org/10.1109/wacv45572.2020.9093620openalex-extracted

Weakly Supervised Temporal Action Localization Using Deep Metric Learning

inferredcites →https://doi.org/10.2298/sjee2003337sopenalex-extracted

Big Data and development of smart city: System architecture and practical public safety example

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Impact of Dataset Size on Classification Performance: An Empirical Evaluation in the Medical Domain

inferredcites →https://doi.org/10.3390/s21082811openalex-extracted

An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos

inferredcites →https://doi.org/10.48550/arxiv.1901.10364openalex-extracted

Anomaly Locality in Video Surveillance

inferredcites →https://doi.org/10.48550/arxiv.2006.03732openalex-extracted

WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos

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