Towards Accurate Heart Rate Measurement from Ultra-Short Video Clips via Periodicity-Guided rPPG Estimation and Signal Reconstruction

TL;DR

This paper introduces a novel approach for accurate heart rate measurement from ultra-short 2-second video clips by leveraging periodicity guidance and signal reconstruction, outperforming existing methods.

Contribution

The paper proposes a periodicity-guided rPPG estimation and a signal reconstruction method specifically designed for ultra-short video clips, addressing challenges of limited heartbeat cycles and spectral leakage.

Findings

Achieves state-of-the-art HR measurement accuracy on benchmark datasets.

Effectively reconstructs longer rPPG signals from ultra-short clips.

Outperforms previous methods in ultra-short video HR estimation.

Abstract

Many remote Heart Rate (HR) measurement methods focus on estimating remote photoplethysmography (rPPG) signals from video clips lasting around 10 seconds but often overlook the need for HR estimation from ultra-short video clips. In this paper, we aim to accurately measure HR from ultra-short 2-second video clips by specifically addressing two key challenges. First, to overcome the limited number of heartbeat cycles in ultra-short video clips, we propose an effective periodicity-guided rPPG estimation method that enforces consistent periodicity between rPPG signals estimated from ultra-short clips and their much longer ground truth signals. Next, to mitigate estimation inaccuracies due to spectral leakage, we propose including a generator to reconstruct longer rPPG signals from ultra-short ones while preserving their periodic consistency to enable more accurate HR measurement. Extensive experiments on four rPPG estimation benchmark datasets demonstrate that our proposed method not only accurately measures HR from ultra-short video clips but also outperform previous rPPG estimation techniques to achieve state-of-the-art performance.