16.7.4.2.9 Human Detection, Tracking, Infrared, IR, Thermal Images

Chapter Contents (Back)
Human Detection. Infrared.

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.
Elsevier DOI 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).
Springer DOI 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 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).
WWW Link. 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. 0501
BibRef

Xu, F.L.[Feng-Liang], Fujimura, K.,
Human detection using depth and gray images,
AVSBS03(115-121).
WWW Link. 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.
Elsevier DOI 0705
BibRef
Earlier:
Layered Representation for Pedestrian Detection and Tracking in Infrared Imagery,
OTCBVS05(III: 13-13).
IEEE DOI 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 0903
BibRef

Lim, J.H.[Ji Hyoun], Tsimhoni, O., Liu, Y.[Yili],
Investigation of Driver Performance With Night Vision and Pedestrian Detection Systems Part I: Empirical Study on Visual Clutter and Glance Behavior,
ITS(11), No. 3, September 2010, pp. 670-677.
IEEE DOI 1003
BibRef

Lim, J.H.[Ji Hyoun], Liu, Y.[Yili], Tsimhoni, O.,
Investigation of Driver Performance With Night-Vision and Pedestrian-Detection Systems Part 2: Queuing Network Human Performance Modeling,
ITS(11), No. 4, December 2010, pp. 765-772.
IEEE DOI 1101
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 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 0709
BibRef

Kim, H.H., Ha, K.N., Lee, S., Lee, K.C.,
Resident Location-Recognition Algorithm Using a Bayesian Classifier in the PIR Sensor-Based Indoor Location-Aware System,
SMC-C(39), No. 2, March 2009, pp. 240-245.
IEEE DOI 0903
BibRef

Ling, B.[Bo],
Innovations in Crossing the Line,
VisSys(14), No. 3, March 2009.
HTML Version. 1102
Pedestrian detection system for traffic intersection control uses IR LED wireless stereo vision system and detection algorithms See also Migma Systems. BibRef

Leykin, A.[Alex], Hammoud, R.I.[Riad I.],
Pedestrian tracking by fusion of thermal-visible surveillance videos,
MVA(21), No. 4, June 2010, pp. xx-yy.
Springer DOI 1006
BibRef
Earlier:
Robust Multi-Pedestrian Tracking in Thermal-Visible Surveillance Videos,
OTCBVS06(136).
IEEE DOI 0609
BibRef

Leykin, A.[Alex], Hammoud, R.I.[Riad I.],
Real-time estimation of human attention field in LWIR and color surveillance videos,
OTCBVS08(1-6).
IEEE DOI 0806
BibRef

Leykin, A.[Alex], Ran, Y.[Yang], Hammoud, R.I.[Riad I.],
Thermal-Visible Video Fusion for Moving Target Tracking and Pedestrian Classification,
OTCBVS07(1-8).
IEEE DOI 0706
BibRef

Bilodeau, G.A.[Guillaume-Alexandre], Torabi, A.[Atousa], Lévesque, M.[Maxime], Ouellet, C.[Charles], Langlois, J.M.P.[J. M. Pierre], Lema, P.[Pablo], Carmant, L.[Lionel],
Body temperature estimation of a moving subject from thermographic images,
MVA(23), No. 2, March 2012, pp. 299-311.
WWW Link. 1202
BibRef

Zhu, Y.[Yu], Guo, G.D.[Guo-Dong],
A Study on Visible to Infrared Action Recognition,
SPLetters(20), No. 9, 2013, pp. 897-900.
IEEE DOI 1308
cameras BibRef

Serrano-Cuerda, J.[Juan], Fernández-Caballero, A.[Antonio], López, M.T.[María Teresa],
Robust human detection through fusion of color and infrared video,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
WWW Link. 1407
Ph.D.. Thesis. BibRef

Zhao, X.Y.[Xin-Yue], He, Z.X.[Zai-Xing], Zhang, S.Y.[Shu-You], Liang, D.[Dong],
Robust pedestrian detection in thermal infrared imagery using a shape distribution histogram feature and modified sparse representation classification,
PR(48), No. 6, 2015, pp. 1947-1960.
Elsevier DOI 1503
Shape distribution histogram (SDH) feature BibRef

Hurney, P., Waldron, P., Morgan, F., Jones, E., Glavin, M.,
Night-time pedestrian classification with histograms of oriented gradients-local binary patterns vectors,
IET-ITS(9), No. 1, 2015, pp. 75-85.
DOI Link 1503
automobiles BibRef

Gao, S.J.[Shu-Juan], Kim, I.[Insuk], Jhang, S.T.[Seong Tae],
Infrared Target Tracking Using Naďve-Bayes-Nearest-Neighbor,
IEICE(E98-D), No. 1, February 2015, pp. 471-474.
WWW Link. 1503
BibRef

Lin, C.F.[Chun-Fu], Chen, C.S.[Chin-Sheng], Hwang, W.J.[Wen-Jyi], Chen, C.Y.[Chih-Yen], Hwang, C.H.[Chi-Hung], Chang, C.L.[Chun-Li],
Novel outline features for pedestrian detection system with thermal images,
PR(48), No. 11, 2015, pp. 3440-3450.
Elsevier DOI 1506
Pedestrian detection at night BibRef

Lee, Y., Chan, Y., Fu, L., Hsiao, P.,
Near-Infrared-Based Nighttime Pedestrian Detection Using Grouped Part Models,
ITS(16), No. 4, August 2015, pp. 1929-1940.
IEEE DOI 1508
Cameras BibRef

Tao, S.[Shuai], Kudo, M.[Mineichi], Pei, B., Nonaka, H.[Hidetoshi], Toyama, J.[Jun],
Multiperson Locating and Their Soft Tracking in a Binary Infrared Sensor Network,
HMS(45), No. 5, October 2015, pp. 550-561.
IEEE DOI 1509
BibRef
Earlier: A1, A2, A4, A5, Only:
Person Localization and Soft Authentication Using an Infrared Ceiling Sensor Network,
CAIP11(II: 122-129).
Springer DOI 1109
Accuracy. BibRef

Suzuuchi, S., Kudo, M.,
Location-associated indoor behavior analysis of multiple persons,
ICPR16(2079-2084)
IEEE DOI 1705
Algorithm design and analysis, Authentication, Cameras, Infrared sensors, Pattern recognition, Privacy BibRef

Hurney, P., Waldron, P., Morgan, F., Jones, E., Glavin, M.,
Review of pedestrian detection techniques in automotive far-infrared video,
IET-ITS(9), No. 8, 2015, pp. 824-832.
DOI Link 1511
Survey, Pedestrain Detection. driver information systems BibRef

Bai, X., Wang, P., Zhou, F.,
Pedestrian Segmentation in Infrared Images Based on Circular Shortest Path,
ITS(17), No. 8, August 2016, pp. 2214-2222.
IEEE DOI 1608
Cost function BibRef

Li, L., Zheng, Y., Bai, X., Zhou, F.,
Background prior and boundary weight-based pedestrian segmentation in infrared images,
ICIP16(839-843)
IEEE DOI 1610
Decision support systems BibRef

Soundrapandiyan, R.[Rajkumar], Chandra Mouli, P.V.S.S.R.,
Adaptive pedestrian detection in infrared images using fuzzy enhancement and top-hat transform,
IJCVR(7), No. 1/2, 2017, pp. 49-67.
DOI Link 1701
BibRef

John, V.[Vijay], Tsuchizawa, S.[Shogo], Liu, Z.[Zheng], Mita, S.[Seiichi],
Fusion of thermal and visible cameras for the application of pedestrian detection,
SIViP(11), No. 3, March 2017, pp. 517-524.
WWW Link. 1702
BibRef

Lu, J., Zhang, T., Hu, F., Hao, Q.,
Preprocessing Design in Pyroelectric Infrared Sensor-Based Human-Tracking System: On Sensor Selection and Calibration,
SMCS(47), No. 2, February 2017, pp. 263-275.
IEEE DOI 1702
array signal processing BibRef

Biswas, S.K., Milanfar, P.,
Linear Support Tensor Machine With LSK Channels: Pedestrian Detection in Thermal Infrared Images,
IP(26), No. 9, September 2017, pp. 4229-4242.
IEEE DOI 1708
discrete Fourier transforms, infrared imaging, object detection, pedestrians, tensors, LSK channels, OSU color thermal database, de facto sliding window-based detection methodology, far infrared images, image similarity kernel, intrinsic image noise, linear support tensor machine, local image geometry, local orientation statistics, local steering kernel, low-level descriptors, mid-level attribute, multichannel discrete Fourier transform, multidimensional template, pedestrian detection, pedestrian localization, pixel level uncertainty, rigid pedestrian detector, support vector machines, tensor representation, thermal infrared images, Buildings, Detectors, Kernel, Tensile stress, Training, Visualization, Object detection, local steering kernel, lsk channels, maximum margin method, pedestrian detection, support, tensor, machine BibRef


Kümmerle, J.[Julius], Hinzmann, T.[Timo], Vempati, A.S.[Anurag Sai], Siegwart, R.[Roland],
Real-Time Detection and Tracking of Multiple Humans from High Bird's-Eye Views in the Visual and Infrared Spectrum,
ISVC16(I: 545-556).
Springer DOI 1701
BibRef

Budzan, S.[Sebastian],
Human Detection in Low Resolution Thermal Images Based on Combined HOG Classifier,
ICCVG16(304-315).
Springer DOI 1611
BibRef

Levin, E., Zarnowski, A., McCarty, J.L., Bialas, J., Banaszek, A., Banaszek, S.,
Feasibility Study Of Inexpensive Thermal Sensors And Small UAS Deployment For Living Human Detection In Rescue Missions Application Scenarios,
ISPRS16(B8: 99-103).
DOI Link 1610
BibRef

Liang, C.[Chao], Liu, Q., Xu, R.[Ruilin],
Local sparse appearance model with specific structural information in infrared pedestrian tracking,
ICIVC16(19-25)
IEEE DOI 1610
computer vision BibRef

Siegmund, D., Handtke, D., Kaehm, O.,
Verifying isolation in a mantrap portal via thermal imaging,
WSSIP16(1-4)
IEEE DOI 1608
image processing BibRef

Ostovar, A.[Ahmad], Hellström, T.[Thomas], Ringdahl, O.[Ola],
Human Detection Based on Infrared Images in Forestry Environments,
ICIAR16(175-182).
Springer DOI 1608
BibRef

John, V.[Vijay], Mita, S.[Seiichi], Liu, Z.[Zheng], Qi, B.[Bin],
Pedestrian detection in thermal images using adaptive fuzzy C-means clustering and convolutional neural networks,
MVA15(246-249)
IEEE DOI 1507
Accuracy BibRef

Chekuri, R.S.[Ravi Shankar], Prashnani, M.[Meghavi],
A Multi-stage Image Segmentation Framework for Human Detection in Mid Wave Infra-Red (MWIR) Imagery,
ICCVG14(132-144).
Springer DOI 1410
BibRef

König, D., Adam, M., Jarvers, C., Layher, G., Neumann, H., Teutsch, M.,
Fully Convolutional Region Proposal Networks for Multispectral Person Detection,
PBVS17(243-250)
IEEE DOI 1709
Benchmark testing, Cameras, Feature extraction, Fuses, Training BibRef

Teutsch, M.[Michael], Mueller, T.[Thomas], Huber, M.[Marco], Beyerer, J.[Juergen],
Low Resolution Person Detection with a Moving Thermal Infrared Camera by Hot Spot Classification,
PBVS14(209-216)
IEEE DOI 1409
LWIR BibRef

Kumar, S.[Suren], Marks, T.K.[Tim K.], Jones, M.[Michael],
Improving Person Tracking Using an Inexpensive Thermal Infrared Sensor,
PBVS14(217-224)
IEEE DOI 1409
infrared sensor;person tracking BibRef

Qi, B.[Bin], John, V.[Vijay], Liu, Z.[Zheng], Mita, S.I.[Sei-Ichi],
Use of Sparse Representation for Pedestrian Detection in Thermal Images,
PBVS14(274-280)
IEEE DOI 1409
BibRef

Bertozzi, M.[Massimo], Fedriga, R.I.[Rean Isabella],
Pedestrian Detection in Poor Visibility Conditions: Would SWIR Help?,
CIAP13(II:229-238).
Springer DOI 1309
BibRef

Zou, H.X.[Huan-Xin], Sun, H.[Hao], Ji, K.F.[Ke-Feng],
Real-time infrared pedestrian detection via sparse representation,
CVRS12(195-198).
IEEE DOI 1302
BibRef

Thomanek, J., Ritter, M., Lietz, H., Wanielik, G.,
Comparing Visual Data Fusion Techniques Using FIR and Visible Light Sensors to Improve Pedestrian Detection,
DICTA11(119-125).
IEEE DOI 1205
BibRef

Kancharla, T.[Tarun], Kharade, P.[Pallavi], Gindi, S.[Sanjyot], Kutty, K.[Krishnan], Vaidya, V.G.[Vinay G.],
Edge based segmentation for pedestrian detection using NIR camera,
ICIIP11(1-6).
IEEE DOI 1112
BibRef

Wang, W.H.[Wei-Hong], Zhang, J.[Jian], Shen, C.H.[Chun-Hua],
Improved human detection and classification in thermal images,
ICIP10(2313-2316).
IEEE DOI 1009
BibRef

Padole, C.N.[Chandrashekhar N.], Alexandre, L.A.[Luis A.],
Wigner distribution based motion tracking of human beings using thermal Imaging,
OTCBVS10(9-14).
IEEE DOI 1006
BibRef

Bansal, M.[Mayank], Wu, S.G.[Shun-Guang], Eledath, J.[Jayan],
Pedestrian association and localization in monocular FIR video sequence,
OTCBVS09(38-45).
IEEE DOI 0906
BibRef

Zhao, J.[Jian], Cheung, S.C.S.[Sen-Ching S.],
Human segmentation by fusing visible-light and thermal imaginary,
VS09(1185-1192).
IEEE DOI 0910
BibRef

Kai, J.L.[Jung-Ling], Arens, M.[Michael],
Detection and tracking of objects with direct integration of perception and expectation,
VS09(1129-1136).
IEEE DOI 0910
BibRef

Kai, J.L.[Jung-Ling], Arens, M.[Michael],
Feature based person detection beyond the visible spectrum,
OTCBVS09(30-37).
IEEE DOI 0906
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 0810
BibRef

Saisan, P., Medasani, S., Owechko, Y.,
Multi-View Classifier Swarms for Pedestrian Detection and Tracking,
OTCBVS05(III: 18-18).
IEEE DOI 0507
BibRef

Davis, J.W.[James W.], Keck, Jr., M.A.[Mark A.],
A Two-Stage Template Approach to Person Detection in Thermal Imagery,
WACV05(I: 364-369).
IEEE DOI 0502
BibRef

Owechko, Y.[Yuri], Medasani, S.[Swarup], Srinivasa, N.[Narayan],
Classifier Swarms for Human Detection in Infrared Imagery,
OTCBVS04(121).
IEEE DOI 0502
BibRef

Yasuno, M.[Masahiro], Yasuda, N.[Noboru], Aoki, M.[Masayoshi],
Pedestrian Detection and Tracking in Far Infrared Images,
OTCBVS04(125).
IEEE DOI 0502
BibRef

Meis, U., Oberlander, M., Ritter, W.,
Reinforcing the reliability of pedestrian detection in far-infrared sensing,
IVS04(779-783).
WWW Link. 0411
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Motion, General Analysis .


Last update:Nov 18, 2017 at 20:56:18