Abnormal event detection and localization using level set based on hybrid features
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Summary
This paper employs the local binary fitting model as the statistical learning model to update by the input videos in real time and shows that the method has good performance for detecting and localizing abnormality compared to the state-of-the-art methods.
- Type
- article
- Published
- 2017-08-04
- Cited by
- 12
- References
- 52
- OpenAlex
- https://openalex.org/W2743165925
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:46792399
Keywords
Artificial intelligence, Computer science, Histogram, Pattern recognition (psychology), Anomaly detection
References
- Learning Invariant Color Features for Person Reidentification
- A PDE-based level-set approach for detection and tracking of moving objects
- Intelligent Video Systems and Analytics: A Survey
- Anomaly Detection and Localization in Crowded Scenes
- A survey of video datasets for human action and activity recognition
- Abnormal detection using interaction energy potentials
- Efficient Parallel Framework for HEVC Motion Estimation on Many-Core Processors
- Video-Based Abnormal Human Behavior Recognition—A Review
- Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance
- An Effective Image Representation Method Using Kernel Classification
- Aggregating local descriptors into a compact image representation
- Efficient parallel HEVC intra-prediction on many-core processor
- Online detection of unusual events in videos via dynamic sparse coding
- Nonnegative Local Coordinate Factorization for Image Representation
- Motion Influence Map for Unusual Human Activity Detection and Localization in Crowded Scenes
- An energy model approach to people counting for abnormal crowd behavior detection
- Multiresolution semantic activity characterisation and abnormality discovery in videos
- A Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on Many-core Processors
- An entropy approach for abnormal activities detection in video streams
- Abnormal crowd behavior detection using behavior entropy model
Cited by
- Vegetation segmentation based on variational level set using multi-channel local wavelet texture and color
- Abnormal event detection in crowded scenes using one-class SVM
- Detecting anomalous crowd behavior using correlation analysis of optical flow
- Event modeling and mining: a long journey toward explainable events
- Weakly supervised deep network for spatiotemporal localization and detection of human actions in wild conditions
- A study on deep learning spatiotemporal models and feature extraction techniques for video understanding
- Detection of Event of Interest for Satellite Video Understanding
- A new 3D convolutional neural network (3D-CNN) framework for multimedia event detection
- Motion-aware future frame prediction for video anomaly detection based on saliency perception
- A New Method of Pedestrian Abnormal Behavior Detection Based on Attention Guidance
- A Review of Abnormal Behaviour Detection in Crowd for Video Surveillance: Advances and Trends, Datasets, Opportunities and Prospects
- Rapid Detection of Crowd Abnormal Behavior Based on the Hierarchical Thinking
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