RhythmMamba: Fast Remote Physiological Measurement with Arbitrary Length Videos
- URL: http://arxiv.org/abs/2404.06483v1
- Date: Tue, 9 Apr 2024 17:34:19 GMT
- Title: RhythmMamba: Fast Remote Physiological Measurement with Arbitrary Length Videos
- Authors: Bochao Zou, Zizheng Guo, Xiaocheng Hu, Huimin Ma,
- Abstract summary: This paper introduces RhythmMamba, an end-to-end method that employs multi-temporal Mamba to constrain both periodic patterns and short-term trends.
Extensive experiments show that RhythmMamba state-the-art performance with reduced parameters and lower computational complexity.
- Score: 10.132660483466239
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Remote photoplethysmography (rPPG) is a non-contact method for detecting physiological signals from facial videos, holding great potential in various applications such as healthcare, affective computing, and anti-spoofing. Existing deep learning methods struggle to address two core issues of rPPG simultaneously: extracting weak rPPG signals from video segments with large spatiotemporal redundancy and understanding the periodic patterns of rPPG among long contexts. This represents a trade-off between computational complexity and the ability to capture long-range dependencies, posing a challenge for rPPG that is suitable for deployment on mobile devices. Based on the in-depth exploration of Mamba's comprehension of spatial and temporal information, this paper introduces RhythmMamba, an end-to-end Mamba-based method that employs multi-temporal Mamba to constrain both periodic patterns and short-term trends, coupled with frequency domain feed-forward to enable Mamba to robustly understand the quasi-periodic patterns of rPPG. Extensive experiments show that RhythmMamba achieves state-of-the-art performance with reduced parameters and lower computational complexity. The proposed RhythmMamba can be applied to video segments of any length without performance degradation. The codes are available at https://github.com/zizheng-guo/RhythmMamba.
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