Doctoral Dissertations

Author

Wenchao Jiang

Keywords and Phrases

Activity Recognition; Human Tracking; Information Fusion

Abstract

"Human tracking is an extensively researched yet still challenging area in the Computer Vision field, with a wide range of applications such as surveillance and healthcare. People may not be successfully tracked with merely the visual information in challenging cases such as long-term occlusion. Thus, we propose to combine information from other sensors with the surveillance cameras to persistently localize and track humans, which is becoming more promising with the pervasiveness of mobile devices such as cellphones, smart watches and smart glasses embedded with all kinds of sensors including accelerometers, gyroscopes, magnetometers, GPS, WiFi modules and so on. In this thesis, we firstly investigate the application of Inertial Measurement Unit (IMU) from mobile devices to human activity recognition and human tracking, we then develop novel persistent human tracking and indoor localization algorithms by the fusion of non-visual sensors and visual sensors, which not only overcomes the occlusion challenge in visual tracking, but also alleviates the calibration and drift problems in IMU tracking"--Abstract, page iii.

Advisor(s)

Yin, Zhaozheng

Committee Member(s)

Jiang, Wei
Lin, Dan
Cheng, Maggie Xiaoyan
Qin, Ruwen

Department(s)

Computer Science

Degree Name

Ph. D. in Computer Science

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2017

Pagination

xi, 81 pages

Note about bibliography

Includes bibliographic references (pages 74-80).

Rights

© 2017 Wenchao Jiang

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 11097

Electronic OCLC #

992174339

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