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Filtering by: Creator Amer, Mohamed R. Degree Field Electrical and Computer Engineering Peer Reviewed No

Hierarchical graphical models for activity recognition in videos

Creator:

Amer, Mohamed R.

Abstract:

This dissertation addresses the problem of recognizing human activities in videos. Our focus is on activities with stochastic structure, where the activities are characterized by variable space-time arrangements of actions, and conducted by a variable number of actors. These activities occur frequently in sports and surveillance videos. They may appear...

Resource Type:

Dissertation
Recognizing human group activities in video through mining optimal features

Creator:

Amer, Mohamed R.

Abstract:

Given a video, we would like to recognize group activities, localize video parts where these activities occur, and detect actors involved in them. To this and, we propose a novel, mid-level feature, called control point, for representing group activities. The control points are aimed at summarizing visual cues, lifting from...

Resource Type:

Masters Thesis