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...

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Veröffentlicht in:Proceedings - IEEE Computer Society Conference on Pattern Recognition and Image Processing S. 486 - 490
Hauptverfasser: Nakazawa, Mitsuru, Mitsugami, Ikuhisa, Yamazoe, Hirotake, Yagi, Yasushi
Format: Tagungsbericht
Sprache:Englisch
Japanisch
Veröffentlicht: IEEE 01.11.2013
Schlagworte:
Accuracy
Estimation
gait
Head
head orientation estimation
Image resolution
Image sequences
Legged locomotion
low resolution images
ISSN:0730-6512
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Beschreibung
Zusammenfassung: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