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» Tracking in Reinforcement Learning
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136
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TIP
2008
157views more  TIP 2008»
15 years 3 months ago
Robust Face Tracking via Collaboration of Generic and Specific Models
Significant appearance changes of objects under different orientations could cause loss of tracking, "drifting." In this paper, we present a collaborative tracking framew...
Peng Wang, Qiang Ji
124
Voted
FGR
1996
IEEE
117views Biometrics» more  FGR 1996»
15 years 7 months ago
Tracking and Learning Graphs and Pose on Image Sequences of Faces
We demonstrate a system capable of tracking, in real world image sequences, landmarks such as eyes, mouth, or chin on a face. In the standard version, knowledge previously collect...
Thomas Maurer, Christoph von der Malsburg
ICVS
2009
Springer
15 years 10 months ago
Incremental Video Event Learning
We propose a new approach for video event learning. The only hypothesis is the availability of tracked object attributes. The approach incrementally aggregates the attributes and r...
Marcos Zúñiga, François Br&ea...
183
Voted
PSIVT
2007
Springer
354views Multimedia» more  PSIVT 2007»
15 years 9 months ago
Real-Time Hand Gesture Detection and Recognition Using Boosted Classifiers and Active Learning
In this article a robust and real-time hand gesture detection and recognition system for dynamic environments is proposed. The system is based on the use of boosted classifiers for...
Hardy Francke, Javier Ruiz-del-Solar, Rodrigo Vers...
111
Voted
ISVC
2010
Springer
15 years 2 months ago
Learning Scene Entries and Exits Using Coherent Motion Regions
We present a novel framework to reliably learn scene entry and exit locations using coherent motion regions formed by weak tracking data. We construct “entities” from weak trac...
Matthew Nedrich, James W. Davis