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Title |
Pedestrian Recognition Suitable for Night Vision Systems |
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Author |
Ryusuke Miyamoto, Hiroki Sugano, Yukihiro Nakamura |
| Citation |
Vol. 7 No. 1 pp. 1-8 |
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Abstract |
Nowadays, pedestrian recognition in far-infrared images toward realizing a night vision system becomes a hot topic. However, sufficient performance could not be achieved by conventional schemes for pedestrian recognition in far-infrared images. Since the properties of far-infrared images are different from visible images, it is not known what kind of scheme is suitable for pedestrian recognition in far-infrared images. In this paper, a novel pedestrian recognition scheme combining boosting-based detection and skeleton-based stochastic tracking suitable for night vision systems is proposed. Experimental results using far-infrared sequences show the proposed scheme achieves highly accurate pedestrian recognition by combining accurate detection with few false positives and accurate tracking. |
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Keywords |
Pedestrian recognition, Night vision, Boosting, Particle filter, Far-infrared image |
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