Bertozzi, M.,
Broggi, A.,
Caraffi, C.,
Del Rose, M.,
Felisa, M.,
Vezzoni, G.,
Pedestrian detection by means of far-infrared stereo vision,
CVIU(106), No. 2-3, May-June 2007, pp. 194-204.
WWW Version.
0705
Keywords: Infrared; Stereo; Pedestrian detection
See also Stereo Vision-Based Approaches for Pedestrian Detection.
BibRef
Bertozzi, M.,
Broggi, A.,
Carletti, M.,
Fascioli, A.,
Graf, T.,
Grisleri, P.,
Meinecke, M.,
IR Pedestrian Detection for Advanced Driver Assistance Systems,
DAGM03(582-590).
HTML Version.
0310
BibRef
Broggi, A.,
Fascioli, A.,
Grisleri, P.,
Graf, T.,
Meinecke, M.,
Model-Based Validation Approaches and Matching Techniques for
Automotive Vision Based Pedestrian Detection,
OTCBVS05(III: 1-1).
IEEE DOI Link
0507
BibRef
Broggi, A.,
Fascioli, A.,
Carletti, M.,
Graf, T.,
Meinecke, M.,
A multi-resolution approach for infrared vision-based pedestrian
detection,
IVS04(7-12).
IEEE Abstract. IEEE Top Reference.
0411
BibRef
Xu, F.L.,
Liu, X.,
Fujimura, K.,
Pedestrian Detection and Tracking With Night Vision,
ITS(6), No. 1, March 2005, pp. 63-71.
IEEE Abstract. IEEE Top Reference.
0501
BibRef
Xu, F.L.[Feng-Liang],
Fujimura, K.,
Human detection using depth and gray images,
AVSBS03(115-121).
IEEE Abstract. IEEE Top Reference.
0310
BibRef
Dai, C.X.[Cong-Xia],
Zheng, Y.F.[Yun-Fei],
Li, X.[Xin],
Pedestrian detection and tracking in infrared imagery using shape and
appearance,
CVIU(106), No. 2-3, May-June 2007, pp. 288-299.
WWW Version.
0705
BibRef
Earlier:
Layered Representation for Pedestrian Detection and Tracking in
Infrared Imagery,
OTCBVS05(III: 13-13).
IEEE DOI Link
0507
Infrared imagery; Background mosaicing; Pedestrian detection;
Shape-based classification; Appearance-based localization;
Graph theoretic tracking; Shot segmentation; Polarity switch
BibRef
Bi, L.,
Tsimhoni, O.,
Liu, Y.,
Using Image-Based Metrics to Model Pedestrian Detection Performance
With Night-Vision Systems,
ITS(10), No. 1, March 2009, pp. 155-164.
IEEE DOI Link
0903
BibRef
Ge, J.F.[Jun-Feng],
Luo, Y.P.[Yu-Pin],
Tei, G.,
Real-Time Pedestrian Detection and Tracking at Nighttime for
Driver-Assistance Systems,
ITS(10), No. 2, June 2009, pp. 283-298.
IEEE DOI Link
0906
BibRef
Dong, J.F.[Jian-Fei],
Ge, J.F.[Jun-Feng],
Luo, Y.P.[Yu-Pin],
Nighttime Pedestrian Detection with Near Infrared using Cascaded
Classifiers,
ICIP07(VI: 185-188).
IEEE DOI Link
0709
BibRef
Olmeda, D.[Daniel],
Hilario, C.[Cristina],
de la Escalera, A.[Arturo],
Armingol, J.M.[Jose M.],
Pedestrian Detection and Tracking Based on Far Infrared Visual
Information,
ACIVS08(xx-yy).
Springer DOI Link
0810
BibRef
Owechko, Y.[Yuri],
Medasani, S.[Swarup],
Srinivasa, N.[Narayan],
Classifier Swarms for Human Detection in Infrared Imagery,
OTCBVS04(121).
HTML Version.
0502
BibRef
Yasuno, M.[Masahiro],
Yasuda, N.[Noboru],
Aoki, M.[Masayoshi],
Pedestrian Detection and Tracking in Far Infrared Images,
OTCBVS04(125).
HTML Version.
0502
BibRef
Meis, U.,
Oberlander, M.,
Ritter, W.,
Reinforcing the reliability of pedestrian detection in far-infrared
sensing,
IVS04(779-783).
IEEE Abstract. IEEE Top Reference.
0411
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Motion, General Analysis .