BOOK-CHAPTER
An Efficient Multi-view Based Activity Recognition System for Video Surveillance Using Random Forest
J. ArunnehruM. Kalaiselvi Geetha
Year: 2014 Smart innovation, systems and technologies Pages: 111-122 Publisher: Springer Nature
Keywords:
Activity recognition Random forest Computer science Artificial intelligence Viewpoints Computer vision Classifier (UML) Pattern recognition (psychology) Dependency (UML) Machine learning
Metrics
1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
20
Refs
0.01
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Human Pose and Action Recognition
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Video Surveillance and Tracking Methods
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Anomaly Detection Techniques and Applications
Physical Sciences → Computer Science → Artificial Intelligence
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