most citedHybrid Classifiers for Spatio-temporal Real-time Abnormal Behaviors Detection, Tracking, and Recognition in Massive Hajj Crowds

5 citations · 8 across the 5 of their papers we have counts for

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cs.CV2022★ 5 cited

Hybrid Classifiers for Spatio-temporal Real-time Abnormal Behaviors Detection, Tracking, and Recognition in Massive Hajj Crowds

Tarik Alafif, Anas Hadi, Manal Allahyani +4

Individual abnormal behaviors vary depending on crowd sizes, contexts, and scenes. Challenges such as partial occlusions, blurring, large-number abnormal behavior, and camera viewi…

cs.CV2017★ 1 cited

Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild

Tarik Alafif, Zeyad Hailat, Melih Aslan +1

Face detection methods have relied on face datasets for training. However, existing face datasets tend to be in small scales for face learning in both constrained and unconstrained…