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Kate Ching-Ju Lin

4 accepted papers

2019

Enabling Identity-Aware Tracking via Fusion of Visual and Inertial Features

ICRA 2019poster

Person identification and tracking (PIT) is an essential issue in computer vision and robotic applications. It has long been studied and achieved by technologies such as RFID or face/fingerprint/iris recognition. These approaches, however, have their limitations due to environmental constraints (suc…

Cited by 22SourceScholar
2019

Who Takes What: Using RGB-D Camera and Inertial Sensor for Unmanned Monitor

ICRA 2019poster

Advanced Internet of Things (IoT) techniques have made human-environment interaction much easier. Existing solutions usually enable such interactions without knowing the identities of action performers. However, identifying users who are interacting with environments is a key to enable personalized…

Cited by 3SourceScholar
2018

Eye on You: Fusing Gesture Data from Depth Camera and Inertial Sensors for Person Identification

ICRA 2018poster

Person identification (PID) is a key issue in many IoT applications. It has long been studied and achieved by technologies such as RFID and face/fingerprint/iris recognition. These approaches, however, have their limitations due to environmental constraints (such as lighting and obstacles) or requir…

Cited by 18SourceScholar