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» Fragmentation in the Vision of Scenes
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CVPR
2009
IEEE
17 years 1 months ago
Anomaly Detection in Extremely Crowded Scenes using Spatio-Temporal Motion Pattern Models
Extremely crowded scenes present unique challenges to video analysis that cannot be addressed with conventional approaches. We present a novel statistical framework for modeling...
Louis Kratz (Drexel University), Ko Nishino (Drexe...
ICCV
2009
IEEE
16 years 11 months ago
Scene Categorization from Low Definition Video
In this paper we present a new method for categorizing video sequences capturing different scene classes. This can be seen as a generalization of previous work on scene classific...
Paritosh Gupta, Sai Sankalp Arrabolu, Mathew Brown...
CVPR
2008
IEEE
16 years 8 months ago
Radiometric calibration with illumination change for outdoor scene analysis
The images of an outdoor scene collected over time are valuable in studying the scene appearance variation which can lead to novel applications and help enhance existing methods t...
Seon Joo Kim, Jan-Michael Frahm, Marc Pollefeys
ICCV
2007
IEEE
16 years 8 months ago
What, where and who? Classifying events by scene and object recognition
We propose a first attempt to classify events in static images by integrating scene and object categorizations. We define an event in a static image as a human activity taking pla...
Li-Jia Li, Fei-Fei Li 0002
CVPR
2010
IEEE
16 years 2 months ago
Tracking with Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes
Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
Louis Kratz, Ko Nishino