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Filtering by: Contributor Kim, Chanho Degree Name Master of Science (M.S.)

Detecting Anomalies in Object Appearance and Motion Dynamics

Creator:

Alotaibi, Mazen

Abstract:

Machine common sense remains a broad, potentially unbounded problem in AI. Our focus is to move toward AI systems that can develop common-sense reasoning similar to humans to detect anomalies. In particular, we study the problem of detecting the violation of expectations when object appearance or motion dynamics change from...

Resource Type:

Capstone Project

Full Text:

Appearance and Motion Dynamics Mazen Alotaibi Oregon State University Chanho Kim Oregon State University
Video Analysis : Techniques for Semi-Supervised Video Object Instance Segmentation and Tracking-by-Detection in the Wild

Creator:

Firl, Alrik K.

Abstract:

This thesis consists of two major components. The first part is concerned with video object instance segmentation (VOS), which is the task of assigning per-pixel labels perframe of a video sequence to indicate foreground object instance membership, given the first frame ground truth mask. VOS has myriad applications, from video...

Resource Type:

Masters Thesis