[Paper Review] Unmasking the abnormal events in video
- 1. Unmasking the abnormal events in video 朱語所鍵 覈 2018-1 覦 觜 語 郁規 危覩
- 2. 覓伎 朱語瑚 Radu Tudor Ionescu, Sorina Smeureanu, Bogdan Alexe, Marius Popescu; The IEEE International Conference on Computer Vision (ICCV), 2017, pp. 2895-2903 Video 螳 Scene Abnormal讌 覿襯 螻襴讀 Text Author Verification 一 Unmasking(Koppel et al.) 蠍磯 Video Frame Unmasking data 螳 襯 豸′蠍 , 螳 discriminant Feature襯 蟇壱 螳覃 Classification Accuracy螳 螳 襯 蟯谿
- 3. Unmasking
- 4. Unmasking
- 5. Unmasking
- 6. Unmasking
- 7. Overall Framework 2*w螳 Frame 觸. w螳 normal, れ w螳 abnormal襦 Labeling. Motion Feature Appearance Feature襯 豢豢. 豢豢 Feature襯 Linear Model襦 Classify. Classifier Train Accuracy襯 豸′. 螳 Discriminant Feature 豢 れ Linear Classifier襦 覲企碁. Accuracy螳 螳 蠏 Accuracy襯 Plot.
- 8. Overall Framework 2*w螳 Frame 觸. w螳 normal, れ w螳 abnormal襦 Labeling. Motion Feature Appearance Feature襯 豢豢. 豢豢 Feature襯 Linear Model襦 Classify. Classifier Train Accuracy襯 豸′. 螳 Discriminant Feature 豢 れ Linear Classifier襦 覲企碁. Accuracy螳 螳 蠏 Accuracy襯 Plot.
- 12. Motion Feature x y t 10 10 5 Spatio Temporal 3D - Gradient
- 16. Plotting
- 17. Thank You!!