An Efficient Algorithm for Recognition of Human Actions
Copyright policy )An Efficient Algorithm for Recognition of Human Actions
Recognition of human actions is an emerging need. Various researchers have endeavored to provide a solution to this problem. Some of the current state-of-the-art solutions are either inaccurate or computationally intensive while others require human intervention. In this paper a sufficiently accurate while computationally inexpensive solution is provided for the same problem. Image moments which are translation, rotation, and scale invariant are computed for a frame. A dynamic neural network is used to identify the patterns within the stream of image moments and hence recognize actions. Experiments show that the proposed model performs better than other competitive models.
- University of Management and Technology Pakistan
- University of the Punjab Pakistan
- Information Technology University Pakistan
- Abdul Wali Khan University Mardan Pakistan
- University of Management and Technology, Lahore Pakistan
Real-time Tracking, Technology, Artificial intelligence, Scale (ratio), Translation (biology), Pattern recognition (psychology), Biochemistry, Gene, Pattern Recognition, Automated, Anomaly Detection in High-Dimensional Data, Principal Component Analysis, T, Physics, Messenger RNA, Q, R, Image translation, Human Activity Analysis, Algorithm, Chemistry, Human Action Recognition and Pose Estimation, Mathematical physics, Physical Sciences, Telecommunications, Medicine, Computer Vision and Pattern Recognition, Algorithms, Research Article, Frame (networking), Artificial neural network, Science, Movement, Motion Detection, Quantum mechanics, Visual Object Tracking and Person Re-identification, Artificial Intelligence, Image Interpretation, Computer-Assisted, Machine learning, Image (mathematics), FOS: Mathematics, Humans, Invariant (physics), Computer science, Action Recognition, Computer Science, Multiple Object Tracking, Neural Networks, Computer, Rotation (mathematics), Mathematics
Real-time Tracking, Technology, Artificial intelligence, Scale (ratio), Translation (biology), Pattern recognition (psychology), Biochemistry, Gene, Pattern Recognition, Automated, Anomaly Detection in High-Dimensional Data, Principal Component Analysis, T, Physics, Messenger RNA, Q, R, Image translation, Human Activity Analysis, Algorithm, Chemistry, Human Action Recognition and Pose Estimation, Mathematical physics, Physical Sciences, Telecommunications, Medicine, Computer Vision and Pattern Recognition, Algorithms, Research Article, Frame (networking), Artificial neural network, Science, Movement, Motion Detection, Quantum mechanics, Visual Object Tracking and Person Re-identification, Artificial Intelligence, Image Interpretation, Computer-Assisted, Machine learning, Image (mathematics), FOS: Mathematics, Humans, Invariant (physics), Computer science, Action Recognition, Computer Science, Multiple Object Tracking, Neural Networks, Computer, Rotation (mathematics), Mathematics
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