Texture classification-based feature processing for violence-based anomaly detection in crowded environments

Research article (Image and Vision Computing, 2022) · cited 15× · AI/ML
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Texture classification-based feature processing for violence-based anomaly detection in crowded environments

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Texture classification-based feature processing for violence-based anomaly detection in crowded environments is a scholarly article[1].

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  • Texture classification-based feature processing for violence-based anomaly detection in crowded environments's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Texture classification-based feature processing for violence-based anomaly detection in crowded environments. Retrieved May 24, 2026, from https://4ort.xyz/entity/texture-classification-based-feature-processing-for-violence-based-anomaly-detection-in-crowded-environments
MLA “Texture classification-based feature processing for violence-based anomaly detection in crowded environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/texture-classification-based-feature-processing-for-violence-based-anomaly-detection-in-crowded-environments.
BibTeX @misc{4ortxyz_texture-classification-based-feature-processing-for-violence-based-anomaly-detection-in-crowded-environments_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Texture classification-based feature processing for violence-based anomaly detection in crowded environments}}, year = {2026}, url = {https://4ort.xyz/entity/texture-classification-based-feature-processing-for-violence-based-anomaly-detection-in-crowded-environments}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Texture classification-based feature processing for violence-based anomaly detection in crowded environments — https://4ort.xyz/entity/texture-classification-based-feature-processing-for-violence-based-anomaly-detection-in-crowded-environments (retrieved 2026-05-24)

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