Model-Based Viewpoint Invariant Human Activity Recognition from Uncalibrated Monocular Video Sequence

Zaw Zaw Htike; Simon Egerton; Ye Chow Kuang

doi:10.1007/978-3-642-17432-2_15

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Model-Based Viewpoint Invariant Human Activity Recognition from Uncalibrated Monocular Video Sequence

Zaw Zaw Htike Simon Egerton Ye Chow Kuang

Year: 2010 Lecture notes in computer science Pages: 142-152 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-17432-2_15

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Keywords:

Computer science Artificial intelligence Dynamic time warping Computer vision Viewpoints Monocular Image warping Invariant (physics) Activity recognition Pose Pattern recognition (psychology) Mathematics

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Topics

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Model-Based Viewpoint Invariant Human Activity Recognition from Uncalibrated Monocular Video Sequence

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