Paper Info
Title
Pedestrian recognition in far-infrared images by combining boosting-based detection and skeleton-based stochastic tracking
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 recognition in far-infrared images is proposed. Experimental results by using far-infrared sequences show the proposed scheme achieves highly accurate pedestrian recognition by combining accurate detection with few false positives and accurate tracking.
Year
DOI
Venue
2006
10.1007/11949534_48
PSIVT
Keywords
Field
DocType
skeleton-based stochastic tracking,conventional scheme,accurate pedestrian recognition,pedestrian recognition,far-infrared sequence,proposed scheme,boosting-based detection,accurate tracking,accurate detection,novel pedestrian recognition scheme,far-infrared image,vision system,far infrared,false positive
Computer vision,Pedestrian,Three-dimensional face recognition,Pattern recognition,Computer science,Night vision,Image processing,Supervised learning,Boosting (machine learning),Artificial intelligence,Pedestrian detection,False positive paradox
Conference
Volume
ISSN
ISBN
4319
0302-9743
3-540-68297-X
Citations 
PageRank 
References 
6
0.93
19
Authors
7
Name
Order
Citations
PageRank
Ryusuke Miyamoto116315.01
Hiroki Sugano214111.19
Hiroaki Saito35718.16
Hiroshi Tsutsui42924.01
Hiroyuki Ochi521544.57
Ken-ichi Hatanaka6161.62
Yukihiro Nakamura717750.18