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Filtering by: Creator Roth, Stephen Elliott Advisor Todorovic, Sinisa

Interactive player tracking for videos in American football

Creator:

Bawaskar, Amit

Abstract:

This thesis presents an interactive software tool for tracking a moving object in a video. In particular, we focus on the problem of tracking a player in American football videos. Object tracking is one of the fundamental problems in computer vision. It is one of the most important components in...

Resource Type:

Masters Thesis
Semantic image segmentation using domain constraints

Creator:

Roy, Anirban

Abstract:

This dissertation addresses the problem of semantic labeling of image pixels. In the course of our work, we considered different types of semantic labels, including object classes (e.g., car, person), 3D depth values (in the range 0 to 80 meters), and affordance classes (e.g., walkable, sittable). Semantic pixel labeling is...

Resource Type:

Dissertation
Robust and Efficient Classification of Videos in the Wild

Creator:

Mahasseni, Behrooz

Abstract:

Recognizing human actions in videos is a long-standing problem in computer vision with a wide range of applications including video surveillance, content retrieval, and sports analysis. This thesis focuses on addressing efficiency and robustness of video classification in unconstrained real-world settings. The thesis work can be broadly divided into four...

Resource Type:

Dissertation
From multitarget tracking to event recognition in videos

Creator:

Brendel, William

Abstract:

This dissertation addresses two fundamental problems in computer vision—namely, multitarget tracking and event recognition in videos. These problems are challenging because uncertainty may arise from a host of sources, including motion blur, occlusions, and dynamic cluttered backgrounds. We show that these challenges can be successfully addressed by using a multiscale,...

Resource Type:

Dissertation