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RECHNER
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A Framework for Segmentation of Talk and Game Shows
A General Framework for Temporal Video Scene Segmentation
A Multiview Approach to Tracking People in Crowded Scenes Using a Planar Homography Constraint
Analysis of Shape from Shading Techniques
A Non-Iterative Greedy Algorithm for Multi-frame Point Correspondence
A Supervised Learning Framework for Generic Object Detection in Images
A Survey of Motion Analysis from Moving Light Displays
Exploring the Space of a Human Action
Height Recovery from Intensity Gradient
Human Tracking in Multiple Cameras
Integrating and Employing Multiple Levels of Zoom for Activity Recognition
Motion Layer Extraction in the Presence of Occlusion Using Graph Cut
Object Based Segmentation of Video Using Color, Motion and Spatial Information
Object Tracking across Multiple Independently Moving Aerial Cameras
Recognizing Human Actions in a Static Room
Recognizing Human Actions in Videos Acquired by Uncalibrated Moving Cameras
Recovering 3D Motion of Multiple Objects Using Adaptive Hough Transform
Scene Detection in Hollywood Movies and TV Shows
TemporalBoost for Event Recognition
Tracking across Multiple Cameras with Disjoint Views