2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDARS-3.6
Paper Title Temporal-spatial Deformable Pose Network for Skeleton-based Gesture Recognition
Authors Honghui Lin, Jiale Cheng, Yu Li, Xin Zhang, South China University of Technology, China
SessionARS-3: Image and Video Biometric Analysis
LocationArea H
Session Time:Monday, 20 September, 13:30 - 15:00
Presentation Time:Monday, 20 September, 13:30 - 15:00
Presentation Poster
Topic Image and Video Analysis, Synthesis, and Retrieval: Image & Video Interpretation and Understanding
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Gesture recognition is a challenging research topic, and also has wide range of potential applications in our daily life. With the development of hardware and advanced algorithms, we can easily extract skeleton data from video sequences and apply them for the recognition task. In this paper, we propose a novel temporal-spatial deformable pose network to leverage space and time information together. Our proposed network can automatically locate most correlated joints across multiple frames and extract features accordingly. Additionally, we introduce a parallel multi-scale convolutional layer with different dilation rates, which can capture multi-term temporal information efficiently. We have conducted experiments on MSRC-12, ChaLearn 2013, and ChaLearn 2016 datasets and our proposed method outperforms state-of-the-art methods. Moreover, Additional experiments showed that our proposed module is more robust to handle noise data and dynamic gestures with various temporal scales.