Moving Object Localization Using Optical Flow for Pedestrian Detection from a Moving Vehicle
Joint Authors
Jo, Kang-Hyun
Hariyono, Joko
Hoang, Van-Dung
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-10
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper presents a pedestrian detection method from a moving vehicle using optical flows and histogram of oriented gradients (HOG).
A moving object is extracted from the relative motion by segmenting the region representing the same optical flows after compensating the egomotion of the camera.
To obtain the optical flow, two consecutive images are divided into grid cells 14×14 pixels; then each cell is tracked in the current frame to find corresponding cell in the next frame.
Using at least three corresponding cells, affine transformation is performed according to each corresponding cell in the consecutive images, so that conformed optical flows are extracted.
The regions of moving object are detected as transformed objects, which are different from the previously registered background.
Morphological process is applied to get the candidate human regions.
In order to recognize the object, the HOG features are extracted on the candidate region and classified using linear support vector machine (SVM).
The HOG feature vectors are used as input of linear SVM to classify the given input into pedestrian/nonpedestrian.
The proposed method was tested in a moving vehicle and also confirmed through experiments using pedestrian dataset.
It shows a significant improvement compared with original HOG using ETHZ pedestrian dataset.
American Psychological Association (APA)
Hariyono, Joko& Hoang, Van-Dung& Jo, Kang-Hyun. 2014. Moving Object Localization Using Optical Flow for Pedestrian Detection from a Moving Vehicle. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1048696
Modern Language Association (MLA)
Hariyono, Joko…[et al.]. Moving Object Localization Using Optical Flow for Pedestrian Detection from a Moving Vehicle. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1048696
American Medical Association (AMA)
Hariyono, Joko& Hoang, Van-Dung& Jo, Kang-Hyun. Moving Object Localization Using Optical Flow for Pedestrian Detection from a Moving Vehicle. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1048696
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048696