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MVA
2008
122views Computer Vision» more  MVA 2008»
14 years 11 months ago
Thermo-visual feature fusion for object tracking using multiple spatiogram trackers
In this paper, we propose a framework that can efficiently combine features for robust tracking based on fusing the outputs of multiple spatiogram trackers. This is achieved withou...
Ciarán O Conaire, Noel E. O'Connor, Alan F....
IVC
2007
266views more  IVC 2007»
14 years 11 months ago
Face detection and facial feature localization without considering the appearance of image context
Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance, face tracking, and face recognition. Effi...
Suphakant Phimoltares, Chidchanok Lursinsap, Kosin...
JMM2
2007
148views more  JMM2 2007»
14 years 11 months ago
Object Segmentation Using Background Modelling and Cascaded Change Detection
— The automatic extraction and analysis of visual information is becoming generalised. The first step in this processing chain is usually separating or segmenting the captured v...
Luís Filipe Teixeira, Jaime S. Cardoso, Lu&...
IDT
2010
138views more  IDT 2010»
14 years 9 months ago
Challenging computer software frontiers and the human resistance to change
This paper examines the driving and opposing forces that are governing the current paradigm shift from a data-processing information technology environment without software intell...
Jens Pohl
ISVC
2010
Springer
14 years 9 months ago
Attention-Based Target Localization Using Multiple Instance Learning
Abstract. We propose a novel Multiple Instance Learning (MIL) framework to perform target localization from image sequences. The proposed approach consists of a softmax logistic re...
Karthik Sankaranarayanan, James W. Davis