Wearable observation supporting system for face identification based on wearable camera

Han, Lu; Li, Zushu; Zhang, Heng; Chen, Dongyi

doi:10.1109/iccsit.2010.5563800

Cited by 3 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Goto and Tanaka [24] presented a text tracking and detection system to facilitate blind people. Han et al [25] developed a real-time face detection, recognition, and identification system. Based on a normalized optical flow field, a bottom-up segmentation algorithm was proposed [26] to separate foreground objects in ego-centric videos.…”

Section: Related Workmentioning

confidence: 99%

Personal object discovery in first-person videos

Liao

Jia

2015

IEEE Trans. on Image Process.

View full text Add to dashboard Cite

People know and care for personal objects, which can be different for individuals. Automatically discovering personal objects is thus of great practical importance. We, in this paper, pursue this task with wearable cameras based on the common sense that personal objects generally company us in various scenes. With this clue, we exploit a new object-scene distribution for robust detection. Two technical challenges involved in estimating this distribution, i.e., scene extraction and unsupervised object discovery, are tackled. For scene extraction, we learn the latent representation instead of simply selecting a few frames from the videos. In object discovery, we build an interaction model to select frame-level objects and use nonparametric Bayesian clustering. Experiments verify the usefulness of our approach.

show abstract

Section: Related Workmentioning

confidence: 99%

Personal object discovery in first-person videos

Liao

Jia

2015

IEEE Trans. on Image Process.

View full text Add to dashboard Cite

show abstract

Camera Based Wearable Devices: A Strategic Survey from 2010 to 2021

Brar,

Jindal

2023

Wireless Pers Commun

View full text Add to dashboard Cite

A Self-Powered Triboelectric Nanogenerator Based on Intelligent Interactive System for Police Shooting Training Monitoring and Virtual Reality Interaction

Jia

Sun

et al. 2022

Materials

View full text Add to dashboard Cite

A self-powered triboelectric nanogenerator (SPTENG) based on triboelectric effect and an intelligent interactive system are fabricated for monitoring shooting training and virtual training. The SPTENG is composed of latex and PTFE and an intelligent system. Based on triboelectric effect, the SPTENG can be used to monitor the progress of trigger pressing without a power supply (this is supplied by trigger movements). Because of the flexible properties, it can be attached to a trigger conveniently to monitor the progress of trigger pressing, such as trigger time, trigger stability, etc. Meanwhile, as part of an intelligent shooting system, police can formulate a standard scheme according to signals to improve their skills. Furthermore, they can use it to train between reality and virtuality. Therefore, it has a wide development space in human–computer interaction and real-time information processing.

show abstract

Wearable observation supporting system for face identification based on wearable camera

Cited by 3 publications

References 8 publications

Personal object discovery in first-person videos

Personal object discovery in first-person videos

Camera Based Wearable Devices: A Strategic Survey from 2010 to 2021

A Self-Powered Triboelectric Nanogenerator Based on Intelligent Interactive System for Police Shooting Training Monitoring and Virtual Reality Interaction

Contact Info

Product

Resources

About