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» Adaptive object tracking by learning background context
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ICPR
2002
IEEE
15 years 10 months ago
Tracking People
This paper describes a real-time computer vision system for tracking people in monocular video sequences. The system tracks people as they move through the camera's field of ...
Ng Kim Piau, Surendra Ranganath
ACCV
2010
Springer
14 years 4 months ago
Unsupervised Selective Transfer Learning for Object Recognition
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
ICMCS
1999
IEEE
234views Multimedia» more  ICMCS 1999»
15 years 1 months ago
Spatiotemporal Segmentation and Tracking of Objects for Visualization of Videoconference Image Sequences
Abstract--In this paper, a procedure is described for the segmentation, content-based coding, and visualization of videoconference image sequences. First, image sequence analysis i...
Ioannis Kompatsiaris, Michael G. Strintzis
92
Voted
CVPR
2009
IEEE
16 years 4 months ago
Discriminatively Trained Particle Filters for Complex Multi-Object Tracking
This work presents a discriminative training method for particle filters in the context of multi-object tracking. We are motivated by the difficulty of hand-tuning the many mode...
Alan Fern, Robin Hess
ICIP
2006
IEEE
15 years 11 months ago
Multispectral Object Segmentation and Retrieval in Surveillance Video
This paper describes a system for object segmentation and feature extraction for surveillance video. Segmentation is performed by a dynamic vision system that fuses information fr...
Ciarán O. Conaire, Noel E. O'Connor, Eddie ...