mlsanityData to 7 Oct 2026

Review on Action Recognition for Accident Detection in Smart City Transportation Systems

arXiv 2208.09588 ↗First posted 20 Aug 2022cs.CV cs.AI cs.CYcited by 8

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Abstract (arXiv)

Action detection and public traffic safety are crucial aspects of a safe community and a better society. Monitoring traffic flows in a smart city using different surveillance cameras can play a significant role in recognizing accidents and alerting first responders. The utilization of action recognition (AR) in computer vision tasks has contributed towards high-precision applications in video surveillance, medical imaging, and digital signal processing. This paper presents an intensive review focusing on action recognition in accident detection and autonomous transportation systems for a smart city. In this paper, we focused on AR systems that used diverse sources of traffic video capturing, such as static surveillance cameras on traffic intersections, highway monitoring cameras, drone cameras, and dash-cams. Through this review, we identified the primary techniques, taxonomies, and algorithms used in AR for autonomous transportation and accident detection. We also examined data sets utilized in the AR tasks, identifying the main sources of datasets and features of the datasets. This paper provides potential research direction to develop and integrate accident detection systems for autonomous cars and public traffic safety systems by alerting emergency personnel and law enforcement in the event of road accidents to minimize human error in accident reporting and provide a spontaneous response to victims

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 18 of its 120 references that are in the map. First posted on arXiv 20 Aug 2022.

Builds on

18 of 120 references.

References · 18

  1. 2017Quo Vadis, Action Recognition? A New Model and the Kinetics Datasetcited by 3,259
  2. 2015Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcastingcited by 1,428
  3. 2018T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Predictioncited by 399
  4. 2015LSTM: A Search Space Odysseycited by 315
  5. 2018The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systemscited by 276
  6. 2019INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Mapscited by 231
  7. 2018The ApolloScape Open Dataset for Autonomous Driving and its Applicationcited by 188
  8. 2018GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphscited by 164
  9. 2020Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learningcited by 91
  10. 2016Segmental Spatiotemporal CNNs for Fine-grained Action Segmentationcited by 78
  11. 2015P-CNN: Pose-based CNN Features for Action Recognitioncited by 58
  12. 2017On the Integration of Optical Flow and Action Recognitioncited by 42
6 more
  1. 2020Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgerycited by 34
  2. 2018Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Artcited by 14
  3. 2019Computer Vision-based Accident Detection in Traffic Surveillancecited by 10
  4. 2020Two-Stream Networks for Lane-Change Prediction of Surrounding Vehiclescited by 8
  5. 2021Intrusion Detection System in Smart Home Network Using Bidirectional LSTM and Convolutional Neural Networks Hybrid Modelcited by 3
  6. 2022Deep Learning Algorithm for Threat Detection in Hackers Forum (Deep Web)cited by 2

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 4; 2024: 1; 2025: 2.

8 papers.

  1. 2023Vision-Based Traffic Accident Detection and Anticipation: A Surveycited by 31
  2. 2023Smart City Transportation: Deep Learning Ensemble Approach for Traffic Accident Detectioncited by 8
  3. 2022Baby Physical Safety Monitoring in Smart Home Using Action Recognition Systemcited by 4
  4. 2023AI on the Road: A Comprehensive Analysis of Traffic Accidents and Accident Detection System in Smart Citiescited by 3
  5. 2023LiteLSTM Architecture Based on Weights Sharing for Recurrent Neural Networkscited by 1
  6. 2024Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systemscited by 0
  7. 2025Spatial-Temporal Perception with Causal Inference for Naturalistic Driving Action Recognitioncited by 0
  8. 2025Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imagingcited by 0