Distinguishing Pedestrians Facing to the Front and the Side by Gait Observation

In this paper, we propose a method to distinguish pedestrians facing to the front and the side by using a low resolution and quality surveillance image sequence. In the past, there have been many methods to estimate the head orientation of a pedestrian. However, because all these methods use facial...

Full description

Saved in:
Bibliographic Details
Published in:Proceedings - IEEE Computer Society Conference on Pattern Recognition and Image Processing pp. 486 - 490
Main Authors: Nakazawa, Mitsuru, Mitsugami, Ikuhisa, Yamazoe, Hirotake, Yagi, Yasushi
Format: Conference Proceeding
Language:English
Japanese
Published: IEEE 01.11.2013
Subjects:
Accuracy
Estimation
gait
Head
head orientation estimation
Image resolution
Image sequences
Legged locomotion
low resolution images
ISSN:0730-6512
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we propose a method to distinguish pedestrians facing to the front and the side by using a low resolution and quality surveillance image sequence. In the past, there have been many methods to estimate the head orientation of a pedestrian. However, because all these methods use facial texture information to achieve the goal, it is difficult to apply the methods to a low resolution and quality image sequence that does not include enough information. Therefore, we focus on the gait change of a pedestrian, which can be acquired even from a low-resolution silhouette sequence. Experiments confirm the effectiveness of the proposed method by using low-resolution image sequences of over one hundred subjects.
ISSN:0730-6512
DOI:10.1109/ACPR.2013.136