Multi-Sensor for Action and Gesture Recognition (MAGR)
ACPR 2019 Workshop, Auckland, New Zealand
Introduction
Besides traditional RGB camera and infrared camera, various new sensors have been invented and widely used for imaging in the past decade, such as depth sensor, event camera, thermal infrared camera, and doppler camera. Merging information from multiple sensors provides better visual effectiveness for applications in surveillance, smart homes, and human-machine interaction. And the accompanying vision and recognition problems have attracted great interests of researchers. Although significant progress has been achieved in recent years using new sensors, e.g., the Kinect sensors are widely used for human action recognition, the applications of the new sensors in computer vision and pattern recognition tasks still need further exploration. These sensors provide different types and viewpoints of visual information, however, many challenges still exist such as how to select and fuse multi-sensor information. The goal of this workshop is to disseminate recent research progress for researchers on a focused platform, discuss how the multi-sensor based methods can benefit the field of action and gesture recognition, and explore potential collaborations.
Call for Papers
Call for papers: Papers addressing action and gesture recognition with multiple sensors and related topics are invited. Both theoretical and application results are sought for. The topics include, but are not limited to:
- Action recognition from multi-sensors
- Gesture recognition from multi-sensors
- Multi-sensor feature extraction
- Multi-sensor feature evaluation
- Multi-sensor feature selection
- Multi-sensor feature fusion
- 2D/3D Human pose estimation
- 2D/3D Hand pose estimation
- Facial activity analysis
- Action/event detection for health care
- Action/event detection for human-machine interaction
- Transfer learning among data from different sensors
- Knowledge distillation between models learnt from different sensor data
- Relationship modeling among data from different sensors
- Cascade feature and multilayer classifier for action and gesture recognition
- Multi-sensor based depth images and dense trajectories
- Improved combined feature representation for action and gesture recognition
- Multi-sensor collaboration in smart lighting control system
Submission: Click here for submission
- Submitted papers should not have been published, accepted or under review elsewhere. Non-peer reviewed media, such as Arxiv do not violate the terms.
- Submissions need to follow the single-blind policy and be formatted in LNCS style, with a maximum of 14 pages (including references).
- All the papers must be submitted using the provided templates.
NOTE: Registration for workshops is included in the conference registration, i.e., all the registered ACPR participants are free to attend any of the workshops (besides all the sessions of the main conference).
Important Dates
| Paper Submission Deadline | September 10, 2019 (No Extension) |
| Notification to Authors | September 25, 2019 |
| Camera-Ready Deadline | October 1, 2019 |
| Workshop Date | November 26, 2019 |
Schedule
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09:05-10:30 Plenary speaker Shoushun Chen
Nanyang Technological University, Singapore
Title: Computer Vision on CeleX Event Camera
Invited speaker Shizheng Wang
Institute of Microelectronics, Chinese Academy of Sciences, China
Title: Dynamic Motion Analysis using Event Flow
Invited speaker Andreas Kempa-Liehr
The University of Auckland, New Zealand
Title: Feature engineering workflow for activity recognition from synchronized inertial measurement units
Invited speaker Zhigang Tu
Wuhan University, China
Title: Human action recognition with different visual cues
Invited speaker Yang Xiao
Huazhong University of Science and Technology, China
Title: Towards Real-time Eyeblink Detection in The Wild: Dataset, Theory and Practices
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10:30-11:00 Coffee break
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11:00-12:00 Oral presentations
1. Learning Spatiotemporal Representation Based on 3D Autoencoder for Anomaly Detection Yunpeng Chang, Bin Luo, Zhigang Tu, Qianqing Qin
2. Multi-view discriminant analysis for dynamic hand gesture recognition Huong Giang Doan, Thanh-Hai Tran, Hai Vu, Thi-Lan Le, VT Nguyen, Sang Viet Dinh, Thi-Oanh Nguyen, Thi Thuy Nguyen, Cuong Duy Nguyen
3. Human Action Recognition Based on Dual Correlation Network Fei Han, Dejun Zhang, Yiqi Wu, Zirui Qiu, Longyong Wu, Weilun Huang
4. Feature engineering workflow for activity recognition from synchronized inertial measurement units Andreas W Kempa-Liehr, Jonty Oram, Andrew Wong, Mark Finch, Thor Besier
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12:00-12:20 Panel Discussion
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Accepted Papers
Organizers
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote sensing
Wuhan University, Wuhan, China
E-mail: tuzhigang@whu.edu.cn
Soochow University, Suzhou, China
E-mail: jyyang@suda.edu.cn
Computer Science and Engineering Department
University at Buffalo, State University of New York (SUNY), USA
Email: jmeng2@buffalo.edu
Technical Program Committee (TPC)
- Shizheng Wang, Institute of Microelectronics, Chinese Academy of Sciences, China
- Yang Xiao, Huazhong University of Science and Technology, China
- Sreyasee Das Bhattacharjee, University of North Carolina, Charlotte, USA
- Junwu Weng, Nanyang Technological University, Singapore
- Hongxing Wang, Chongqing University, China
- Ye Luo, Tongji University, China
- Yuning Jiang, Beijing Bytedance Technology Co., Ltd., China
- Hui Liang, Amazon Co., Ltd., USA
- Mengyuan Liu, Nanyang Technological University, Singapore
- Gang Yu, Beijing Megvii Co., Ltd., China
- Chaoqun Weng, Momenta Co., Ltd., China1
- Tan Yu, Nanyang Technological University, Singapore
- Yuwei Wu, Beijing Institute of Technology, China
- Zhou Ren, Wormpex AI Research LLC, USA
- Dejun Zhang, China University of Geosciences, Wuhan, China
Acknowledgments
This workshop is proudly sponsored by RapidV++ (Shenzhen), MEGVII, CIT-China, and DeepMicro.
