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CVPR
2009
IEEE
16 years 11 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
CVPR
2009
IEEE
16 years 11 months ago
Actions in context
This paper exploits the context of natural dynamic scenes for human action recognition in video. Human actions are frequently constrained by the purpose and the physical propert...
Marcin Marszalek (INRIA), Ivan Laptev (INRIA), Cor...
ICCV
2009
IEEE
1068views Computer Vision» more  ICCV 2009»
16 years 9 months ago
Illumination Aware MCMC Particle Filter for Long-Term Outdoor Multi-Object Simultaneous Tracking and Classification
This paper addresses real-time automatic visual tracking, labeling and classification of a variable number of objects such as pedestrians or/and vehicles, under timevarying illu...
Franc¸ois Bardet, Thierry Chateau, Datta Ramadasa...
CVPR
2000
IEEE
16 years 6 months ago
Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks
Design and development of novel human-computer interfaces poses a challenging problem: actions and intentions of users have to be inferred from sequences of noisy and ambiguous mu...
Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, T...
CVPR
2006
IEEE
16 years 6 months ago
Fusion of Detection and Matching Based Approaches for Laser Based Multiple People Tracking
Most of visual tracking algorithms have been achieved by matching-based searching strategies or detection-based data association algorithms. In this paper, our objective is to ana...
Jinshi Cui, Huijing Zhao, Ryosuke Shibasaki
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