19 June 2017 Towards discrete wavelet transform-based human activity recognition
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Proceedings Volume 10443, Second International Workshop on Pattern Recognition; 1044308 (2017) https://doi.org/10.1117/12.2280346
Event: Second International Workshop on Pattern Recognition, 2017, Singapore, Singapore
Abstract
Providing accurate recognition of human activities is a challenging problem for visual surveillance applications. In this paper, we present a simple and efficient algorithm for human activity recognition based on a wavelet transform. We adopt discrete wavelet transform (DWT) coefficients as a feature of human objects to obtain advantages of its multiresolution approach. The proposed method is tested on multiple levels of DWT. Experiments are carried out on different standard action datasets including KTH and i3D Post. The proposed method is compared with other state-of-the-art methods in terms of different quantitative performance measures. The proposed method is found to have better recognition accuracy in comparison to the state-of-the-art methods.
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Manish Khare, Manish Khare, Moongu Jeon, Moongu Jeon, "Towards discrete wavelet transform-based human activity recognition", Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 1044308 (19 June 2017); doi: 10.1117/12.2280346; https://doi.org/10.1117/12.2280346
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