Exploring Rolling Shutter Effect for Motion Tracking with Objective Identification

Exploring Rolling Shutter Effect for Motion Tracking with Objective Identification
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探索具有目标识别的运动跟踪的滚动快门效果

DOI:
10.1145/3560905.3568063
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发表时间:
2022
期刊:
The 20th ACM Conference on Embedded Networked Sensor Systems (SenSys 2022
影响因子:
--
通讯作者:
Xiao, Li
Xiao, Li
中科院分区:
--
文献类型:
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作者:
Zhang, Xiao;Klevering, Griffin;Xiao, Li

文献摘要

被引文献

相似文献

基于感知的用户界面在智能家居、医疗设备、教育系统、AR/VR/MR等领域具有巨大的潜力。然而,现有的手势和身体手势识别系统大多基于帧级别的计算机视觉方法,这些方法存在无法在低亮度环境中操作、检测距离短、缺乏目标识别能力以及当目标处于高速运动时无法进行粗粒度跟踪等局限性。因此,本文提出在目标上附加有源LED元件,并利用滚动快门效应来增强手势识别,实现具有目标识别的细粒度运动跟踪。
Sensing-based user interfaces hold enormous potential for smart homes, medical equipment, educational systems, AR/VR/MR, etc. However existing hand and body gesture recognition systems are mostly based on frame-level computer vision approaches, which have limitations such as the inability to operate in the environment with low brightness, short detection distance, without the objective identification ability, and coarse-grained tracking when the objectives are in high-speed motion. Therefore, in this paper, we propose to attach active LED elements on objectives and utilize rolling shutter effect to enhance the gesture recognition and achieve the fine-grained motion tracking with objective identification.