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» Tracking Large Variable Numbers of Objects in Clutter
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ICPR
2002
IEEE
14 years 8 months ago
An Appearance Based Approach for Video Object Extraction and Representation
This paper describes a novel appearance based scheme for extraction and representation of video objects. The tracking algorithm used for video object extraction is based upon a ne...
Gaurav Garg, Pramod Kumar Sharma, Santanu Chaudhur...
ECOOP
2006
Springer
13 years 11 months ago
Efficient Object Querying for Java
Modern programming languages have little or no support for querying objects and collections. Programmers are forced to hand code such queries using nested loops, which is both cumb...
Darren Willis, David J. Pearce, James Noble
20
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CVPR
2010
IEEE
14 years 3 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
ICCV
2007
IEEE
14 years 9 months ago
Depth Information by Stage Classification
Recently, methods for estimating 3D scene geometry or absolute scene depth information from 2D image content have been proposed. However, general applicability of these methods in...
André Redert, Arnold W. M. Smeulders, Jan-M...
CVPR
2001
IEEE
14 years 9 months ago
Automatic Partitioning of High Dimensional Search Spaces Associated with Articulated Body Motion Capture
Particle filters have proven to be an effective tool for visual tracking in non-gaussian, cluttered environments. Conventional particle filters however do not scale to the problem...
Jonathan Deutscher, Andrew J. Davison, Ian D. Reid