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ACCV
2007
Springer
16 years 27 days ago
Hierarchical Learning of Dominant Constellations for Object Class Recognition
Abstract. The importance of spatial configuration information for object class recognition is widely recognized. Single isolated local appearance codes are often ambiguous. On the...
Nathan Mekuz, John K. Tsotsos
ICDM
2006
IEEE
138views Data Mining» more  ICDM 2006»
16 years 22 days ago
Belief Propagation in Large, Highly Connected Graphs for 3D Part-Based Object Recognition
We describe a part-based object-recognition framework, specialized to mining complex 3D objects from detailed 3D images. Objects are modeled as a collection of parts together with...
Frank DiMaio, Jude W. Shavlik
AVSS
2005
IEEE
16 years 9 days ago
A multi-feature object association framework for overlapped field of view multi-camera video surveillance systems
This work describes a data fusion technique to improve performances in objects localization and tracking for automatic video surveillance systems. The developed strategy is design...
Stefano Piva, Alessandro Calbi, Daniele Angiati, C...
SCCC
2005
IEEE
16 years 8 days ago
Balancing active objects on a peer to peer infrastructure
We present a contribution on dynamic load balancing for distributed and parallel object-oriented applications. We specially target on peer to peer systems and its capability to di...
Javier Bustos-Jiménez, Denis Caromel, Alexa...
WACV
2005
IEEE
16 years 8 days ago
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
Jinman Kang, Isaac Cohen, Gérard G. Medioni