Papers Pose-based Anomaly Detection
“Pose-based Anomaly Detection” 태그가 달린 논문 3편 · 필터 해제
Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark
2025-01-11
· Narges Rashvand, Ghazal Alinezhad Noghre, Armin Danesh Pazho, Shanle Yao 외
Shoplifting poses a significant challenge for retailers, resulting in billions of dollars in annual losses. Traditional security measures often fall short, highlighting the need for intelligent solutions capable of detec…
Anomaly DetectionPose-based Anomaly DetectionPrivacy PreservingPHEVA: A Privacy-preserving Human-centric Video Anomaly Detection Dataset
2024-08-26
· Ghazal Alinezhad Noghre, Shanle Yao, Armin Danesh Pazho, Babak Rahimi Ardabili 외
PHEVA, a Privacy-preserving Human-centric Ethical Video Anomaly detection dataset. By removing pixel information and providing only de-identified human annotations, PHEVA safeguards personally identifiable information. T…
Anomaly DetectionContinual LearningPose-based Anomaly DetectionPrivacy Preserving+1Understanding the Challenges and Opportunities of Pose-based Anomaly Detection
2023-03-09
· Ghazal Alinezhad Noghre, Armin Danesh Pazho, Vinit Katariya, Hamed Tabkhi
Pose-based anomaly detection is a video-analysis technique for detecting anomalous events or behaviors by examining human pose extracted from the video frames. Utilizing pose data alleviates privacy and ethical issues. A…
Anomaly DetectionPose-based Anomaly DetectionVideo Anomaly Detection
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