eprintid: 1865
rev_number: 12
eprint_status: archive
userid: 285
dir: disk0/00/00/18/65
datestamp: 2016-09-02 16:05:56
lastmod: 2016-09-02 16:07:46
status_changed: 2016-09-02 16:05:56
type: conference_item
metadata_visibility: show
creators_name: Dinh, Tran Hiep
creators_name: Pham, Minh Trien
creators_name: Phung, Manh Duong
creators_name: Nguyen, Due Manh
creators_name: Hoang, Van Manh
creators_name: Tran, Quang Vinh
creators_id: tranhiep.dinh@vnu.edu.vn
creators_id: trienpm@vnu.edu.vn
creators_id: duongpm@vnu.edu.vn
creators_id: vinhtq@vnu.edu.vn
title: Image segmentation based on histogram of depth and an application in driver distraction detection
ispublished: pub
subjects: ECE
divisions: fac_fet
abstract: This study proposes an approach to segment human object from a depth image based on histogram of depth values. The region of interest is first extracted based on a predefined threshold for histogram regions. A region growing process is then employed to separate multiple human bodies with the same depth interval. Our contribution is the identification of an adaptive growth threshold based on the detected histogram region. To demonstrate the effectiveness of the proposed method, an application in driver distraction detection was introduced. After successfully extracting the driver's position inside the car, we came up with a simple solution to track the driver motion. With the analysis of the difference between initial and current frame, a change of cluster position or depth value in the interested region, which cross the preset threshold, is considered as a distracted activity. The experiment results demonstrated the success of the algorithm in detecting typical distracted driving activities such as using phone for calling or texting, adjusting internal devices and drinking in real time.
date: 2014
date_type: published
official_url: http://doi.org/10.1109/ICARCV.2014.7064437
id_number: doi:10.1109/ICARCV.2014.7064437
full_text_status: public
pres_type: paper
pagerange: 969-974
event_title: 13th International Conference on Control Automation Robotics & Vision (ICARCV)
event_location: Singapore
event_dates: 10-12 December 2014
event_type: conference
refereed: TRUE
book_title: 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)
citation:   Dinh, Tran Hiep and Pham, Minh Trien and Phung, Manh Duong and Nguyen, Due Manh and Hoang, Van Manh and Tran, Quang Vinh  (2014) Image segmentation based on histogram of depth and an application in driver distraction detection.  In: 13th International Conference on Control Automation Robotics & Vision (ICARCV), 10-12 December 2014, Singapore.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1865/1/07064437.pdf