16.7.2.1.1 Nighttime Vehicle Detection and Recognition

Chapter Contents (Back)
Vehicle Detection.

O'Malley, R., Jones, E., Glavin, M.,
Rear-Lamp Vehicle Detection and Tracking in Low-Exposure Color Video for Night Conditions,
ITS(11), No. 2, June 2010, pp. 453-462.
IEEE DOI 1007
BibRef

Kosaka, N., Ohashi, G.,
Vision-Based Nighttime Vehicle Detection Using CenSurE and SVM,
ITS(16), No. 5, October 2015, pp. 2599-2608.
IEEE DOI 1511
computer vision BibRef

Zou, Q.[Qi], Ling, H.B.[Hai-Bin], Luo, S.W.[Si-Wei], Huang, Y.P.[Ya-Ping], Tian, M.[Mei],
Robust Nighttime Vehicle Detection by Tracking and Grouping Headlights,
ITS(16), No. 5, October 2015, pp. 2838-2849.
IEEE DOI 1511
feature extraction BibRef

Kuang, H., Chen, L., Gu, F., Chen, J., Chan, L., Yan, H.,
Combining Region-of-Interest Extraction and Image Enhancement for Nighttime Vehicle Detection,
IEEE_Int_Sys(31), No. 3, May 2016, pp. 57-65.
IEEE DOI 1606
Feature extraction BibRef

Sangnoree, A.[Apiwat], Chamnongthai, K.[Kosin],
Thermal-image processing and statistical analysis for vehicle category in nighttime traffic,
JVCIR(48), No. 1, 2017, pp. 88-109.
Elsevier DOI 1708
Thermal, imaging BibRef

Kuang, H., Zhang, X., Li, Y.J., Chan, L.L.H., Yan, H.,
Nighttime Vehicle Detection Based on Bio-Inspired Image Enhancement and Weighted Score-Level Feature Fusion,
ITS(18), No. 4, April 2017, pp. 927-936.
IEEE DOI 1704
Biomedical imaging BibRef

Choi, Y.Y.[Yeong-Yu], Lim, H.J.[Hyo-Jin], Khac, C.N.[Cuong Nguyen], Park, J.H.[Ju H.], Jung, H.Y.[Ho-Youl],
Efficient local adaptive thresholding for night-time vehicle candidate detection,
IJCVR(7), No. 5, 2017, pp. 574-587.
DOI Link 1709
BibRef

Zou, Q., Ling, H., Pang, Y., Huang, Y., Tian, M.,
Joint Headlight Pairing and Vehicle Tracking by Weighted Set Packing in Nighttime Traffic Videos,
ITS(19), No. 6, June 2018, pp. 1950-1961.
IEEE DOI 1806
Intelligent transportation systems, Robustness, Shape, Target tracking, Trajectory, Vehicle tracking, set packing BibRef

Wang, L., Horn, B.K.P.,
Machine Vision to Alert Roadside Personnel of Night Traffic Threats,
ITS(19), No. 10, October 2018, pp. 3245-3254.
IEEE DOI 1810
Automobiles, Smart phones, Law enforcement, Cameras, Labeling, Personnel, Machine vision, Blob detection, multi object tracking, convex hull updating BibRef

Kuang, H., Chen, L., Chan, L.L.H., Cheung, R.C.C., Yan, H.,
Feature Selection Based on Tensor Decomposition and Object Proposal for Night-Time Multiclass Vehicle Detection,
SMCS(49), No. 1, January 2019, pp. 71-80.
IEEE DOI 1901
Feature extraction, Vehicle detection, Proposals, Tensile stress, Image enhancement, Image edge detection, tensor decomposition BibRef


Kumar, U.,
Vehicle detection in monocular night-time grey-level videos,
IVCNZ13(214-219)
IEEE DOI 1402
Haar transforms BibRef

Yuan, Y.[Yule], Zhao, Y.[Yong], Wang, X.[Xinan],
Day and night vehicle detection and counting in complex environment,
IVCNZ13(453-458)
IEEE DOI 1402
feature extraction BibRef

Takayasu, N., Aoki, M.,
Position detection using stereo slit camera and vertical objects,
IVS04(762-767).
IEEE DOI 0411
At night, slit camera and fluorescent object -- the vehicle passes between them. BibRef

Taktak, R., Dufaut, M., Husson, R.,
Vehicle detection at night using image processing and pattern recognition,
ICIP94(II: 296-300).
IEEE DOI 9411
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Vehicle Make or Model or Type Recogniton .


Last update:Mar 2, 2019 at 12:07:42