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CVPR
2007
IEEE
16 years 3 months ago
Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury
ICCV
2011
IEEE
14 years 1 months ago
Struck: Structured Output Tracking with Kernels
Adaptive tracking-by-detection methods are widely used in computer vision for tracking arbitrary objects. Current approaches treat the tracking problem as a classification task a...
Sam Hare, Amir Saffari, Philip H.S. Torr
ACHI
2008
IEEE
15 years 8 months ago
Adaptive Self-Assessment Trying to Reduce Fear
— Almost everyone has experienced fear at least once in their life because of a test. Fear can positively mobilise students, when it is under control. However, when fear becomes ...
Anastasios A. Economides, Christos N. Moridis
ECCV
2004
Springer
16 years 3 months ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
117
Voted
IAT
2003
IEEE
15 years 6 months ago
Living with Dynamic Concepts in Dynamic Environments Intelligent Agents that Adapt Themselves
In this paper a dynamic perspective on concepts for intelligent agents is propagated. The discussion on the nature of concepts can be simplified to a dichotomy between objective/...
Matthias Rehm