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» Object Classification in Visual Surveillance Using Adaboost
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CVPR
2010
IEEE
15 years 6 months ago
Novel Observation Model for Probabilistic Object Tracking
Treating visual object tracking as foreground and background classification problem has attracted much attention in the past decade. Most methods adopt mean shift or brute force s...
Dawei Liang, Qingming Huang, Hongxun Yao, Shuqiang...
ICPR
2010
IEEE
14 years 11 months ago
Multi-class Graph Boosting with Subgraph Sharing for Object Recognition
In this paper, we propose a novel multi-class graph boosting algorithm to recognize different visual objects. The proposed method treats subgraph as feature to construct base clas...
Bang Zhang, Getian Ye, Yang Wang 0002, Wei Wang, J...
CHI
2007
ACM
16 years 1 months ago
A minimal model for predicting visual search in human-computer interaction
Visual search is an important part of human-computer interaction. It is critical that we build theory about how people visually search displays in order to better support the user...
Tim Halverson, Anthony J. Hornof
ATAL
2010
Springer
15 years 1 months ago
Inter-robot transfer learning for perceptual classification
We introduce the novel problem of inter-robot transfer learning for perceptual classification of objects, where multiple heterogeneous robots communicate and transfer learned obje...
Zsolt Kira
ICCV
2007
IEEE
16 years 3 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...