16.7.2.6.1 Traffic Surveillance, Analysis, Aerial Images, Overhead, Airborne Sensors

Chapter Contents (Back)
Vehicle Tracking. Event Understanding. Traffic Surveillance. Traffic Analysis. Aerial Traffic. Overhead Traffic. Bird's Eye View.
See also Traffic Surveillance, Analysis of Traffic.
See also Surveillance of Vehicles and Occupants, Driver Monitoring.
See also Ship Tracking, Ship Trajectory.
See also Bird's Eye View Generation, BEV.

Angel, A., Hickman, M., Mirchandani, P., Chandnani, D.,
Methods of analyzing traffic imagery collected from aerial platforms,
ITS(4), No. 2, June 2003, pp. 99-107.
IEEE Abstract. 0402
BibRef

Shastry, A.C., Schowengerdt, R.A.,
Airborne video registration and traffic-flow parameter estimation,
ITS(6), No. 4, December 2005, pp. 391-405.
IEEE DOI 0601
BibRef

Hinz, S.[Stefan], Bamler, R.[Richard], Stilla, U.[Uwe],
Theme issue: 'Airborne and spaceborne traffic monitoring',
PandRS(61), No. 3-4, December 2006, pp. 135-136.
Elsevier DOI 0703
BibRef

Meyer, F.[Franz], Hinz, S.[Stefan], Laika, A.[Andreas], Weihing, D.[Diana], Bamler, R.[Richard],
Performance analysis of the TerraSAR-X Traffic monitoring concept,
PandRS(61), No. 3-4, December 2006, pp. 225-242.
Elsevier DOI 0703
Remote Sensing; Radar; SAR interferometer; Detection; Monitoring; Accuracy; Performance; GMTI BibRef

Hinz, S.[Stefan], Meyer, F.[Franz], Eineder, M.[Michael], Bamler, R.[Richard],
Traffic monitoring with spaceborne SAR: Theory, simulations, and experiments,
CVIU(106), No. 2-3, May-June 2007, pp. 231-244.
Elsevier DOI 0705
Vehicle detection; Velocity estimation; Spaceborne synthetic aperture radar; Along-track radar interferometry BibRef

Meyer, F., Hinz, S.,
Automatic Ship Detection in Space-borne SAR Imagery,
HighRes09(xx-yy).
PDF File. 0906
BibRef

Hinz, S.[Stefan], Meyer, F.[Franz], Laika, A.[Andreas], Bamler, R.[Richard],
Spaceborne Traffic Monitoring with Dual Channel Synthetic Aperture Radar Theory and Experiments,
OTCBVS05(III: 7-7).
IEEE DOI 0507
Combine detection and velocity extimation with road databases. BibRef

Meyer, F.[Franz], Hinz, S.[Stefan], Laika, A.[Andreas], Bamler, R.[Richard],
A-Priori Information Driven Detection of Moving Objects for Traffic Monitoring by Spaceborne SAR,
CMRT05(xx-yy).
PDF File. 0508
BibRef

Toth, C.K., Grejner-Brzezinska, D.A.,
Extracting dynamic spatial data from airborne imaging sensors to support traffic flow estimation,
PandRS(61), No. 3-4, December 2006, pp. 137-148.
Elsevier DOI 0703
Airborne laserscanning (LiDAR); Airborne imagery; Feature extraction; Traffic flow; Performance validation BibRef

Reinartz, P.[Peter], Lachaise, M.[Marie], Schmeer, E.[Elisabeth], Krauss, T.[Thomas], Runge, H.[Hartmut],
Traffic monitoring with serial images from airborne cameras,
PandRS(61), No. 3-4, December 2006, pp. 149-158.
Elsevier DOI 0703
Aerial images; Image series; Traffic monitoring; Geocoding; Velocity estimation; Road database BibRef

Kirchhof, M., Stilla, U.,
Detection of moving objects in airborne thermal videos,
PandRS(61), No. 3-4, December 2006, pp. 187-196.
Elsevier DOI 0703
Geometry; Change detection; Infrared sequences; Segmentation; Tracking Vehicle tracking application. BibRef

Michaelsen, E.[Eckart], Stilla, U.[Uwe],
Good Sample Consensus Estimation of 2D-Homographies for Vehicle Movement Detection from Thermal Videos,
PIA05(xx-yy).
PDF File. 0509
BibRef

Kirchhof, M., Michaelsen, E., Jager, K.,
Motion Detection by Classification of Local Structures in Airborne Thermal Videos,
CMRT05(xx-yy).
PDF File. 0508
BibRef

Hinz, S.[Stefan], Stilla, U.[Uwe],
Car detection in aerial thermal images by local and global evidence accumulation,
PRL(27), No. 4, March 2006, pp. 308-315.
Elsevier DOI 0602
Thermal infrared; Evidence accumulation BibRef

Leitloff, J.[Jens], Hinz, S.[Stefan], Stilla, U.[Uwe],
Vehicle Detection in Very High Resolution Satellite Images of City Areas,
GeoRS(48), No. 7, July 2010, pp. 2795-2806.
IEEE DOI 1007
BibRef
Earlier:
Inferring Traffic Activity from Optical Satellite Images,
PIA07(89).
PDF File. 0711
BibRef
Earlier:
Automatic Vehicle Detection in Satellite Images,
PCV06(xx-yy).
PDF File. 0609
BibRef
Earlier:
Automatic Vehicle Detection in Space Images Supported by Digital Map Data,
CMRT05(xx-yy).
PDF File. 0508
BibRef

Zeller, K., Hinz, S., Rosenbaum, D., Leitloff, J., Reinartz, P.,
Traffic Monitoring without Single Car Detection from Optical Airborne Images,
HighRes09(xx-yy).
PDF File. 0906
BibRef

Yao, W.[Wei], Hinz, S.[Stefan], Stilla, U.[Uwe],
Airborne analysis and assessment of urban traffic scenes from LiDAR data: Theory and experiments,
OTCBVS10(75-82).
IEEE DOI 1006

See also Automatic vehicle extraction from airborne LiDAR data of urban areas aided by geodesic morphology. BibRef

Suchandt, S.[Steffen], Eineder, M.[Michael], Breit, H.[Helko], Runge, H.[Hartmut],
Analysis of ground moving objects using SRTM/X-SAR data,
PandRS(61), No. 3-4, December 2006, pp. 209-224.
Elsevier DOI 0703
SRTM; Along-Track Interferometry; Ground Moving Target Indication BibRef

Bethke, K.H., Baumgartner, S., Gabele, M., Hounam, D., Kemptner, E., Klement, D., Krieger, G., Erxleben, R.,
Air- and spaceborne monitoring of road traffic using SAR moving target indication: Project TRAMRAD,
PandRS(61), No. 3-4, December 2006, pp. 243-259.
Elsevier DOI 0703
SAR interferometry; Space-Time Adaptive Processing; Radar signature; SAR/MTI; Traffic monitoring BibRef

Yao, W.[Wei], Hinz, S.[Stefan], Stilla, U.[Uwe],
Automatic Estimation of Vehicle Activity from Airborne Thermal Infrared Video of Urban Areas by Trajectory Classification,
PFG(2009), No. 5, 2009, pp. 393-406.
WWW Link. 1211
BibRef
Earlier:
Vehicle Activity Indication from Airborne Lidar Data of Urban Areas by Binary Shape Classification of Point Sets,
CMRT09(35-40).
PDF File. 0909
BibRef
Earlier:
Traffic Monitoring from Airborne Full-Waveform LIDAR: Feasibility, Simulation and Analysis,
ISPRS08(B3b: 593 ff).
PDF File. 0807
BibRef
And:
Automatic Analysis of Traffic Scenario from Airborne Thermal Infrared Video,
ISPRS08(B3a: 223 ff).
PDF File. 0807
BibRef

Yao, W.[Wei], Hinz, S.[Stefan], Stilla, U.[Uwe],
Automatic vehicle extraction from airborne LiDAR data of urban areas aided by geodesic morphology,
PRL(31), No. 10, 15 July 2010, pp. 1100-1108.
Elsevier DOI 1008
Airborne LiDAR; Urban areas; Vehicle extraction; Context; Geodesic morphology
See also Airborne analysis and assessment of urban traffic scenes from LiDAR data: Theory and experiments. BibRef

Yao, W.[Wei], Hinz, S.[Stefan], Stilla, U.[Uwe],
Extraction and motion estimation of vehicles in single-pass airborne LiDAR data towards urban traffic analysis,
PandRS(66), No. 3, May 2011, pp. 260-271.
Elsevier DOI 1103
Airborne LiDAR; Urban; Motion estimation; Three-dimensional; Traffic monitoring BibRef

Hinz, S., Kurz, F., Weihing, D., Suchandt, S.,
Spatio-Temporal Matching of Moving Objects in Optical and SAR Data,
PIA07(155).
PDF File. 0711
BibRef

Cerutti-Maori, D., Klare, J., Brenner, A.R., Ender, J.H.G.,
Wide-Area Traffic Monitoring With the SAR/GMTI System PAMIR,
GeoRS(46), No. 10, October 2008, pp. 3019-3030.
IEEE DOI 0810
BibRef

Larsen, S.Ø.[Siri Øyen], Koren, H.[Hans], Solberg, R.[Rune],
Traffic Monitoring using Very High Resolution Satellite Imagery,
PhEngRS(75), No. 7, July 2009, pp. 859-870.
WWW Link. 0910
An object based vehicle detection algorithm using Quick-Bird imagery for generation of data that are to be used in estimates of Annual Average Day Traffic. BibRef

Park, S.H., Kim, H.T., Kim, K.T.,
Segmentation of ISAR Images of Targets Moving in Formation,
GeoRS(48), No. 4, April 2010, pp. 2099-2108.
IEEE DOI 1003
BibRef

Suchandt, S., Runge, H., Breit, H., Steinbrecher, U., Kotenkov, A., Balss, U.,
Automatic Extraction of Traffic Flows Using TerraSAR-X Along-Track Interferometry,
GeoRS(48), No. 2, February 2010, pp. 807-819.
IEEE DOI 1002
BibRef

Majidi, B., Bab-Hadiashar, A.,
Aerial tracking of elongated objects in rural environments,
MVA(20), No. 1, January 2009, pp. xx-yy.
Springer DOI 0810
BibRef

Rodríguez-Canosa, G., Thomas, S., del Cerro, J., Barrientos, A., MacDonald, B.,
A Real-Time Method to Detect and Track Moving Objects (DATMO) from Unmanned Aerial Vehicles (UAVs) Using a Single Camera,
RS(4), No. 4, April 2012, pp. 1090-1111.
DOI Link 1202
BibRef

Cerutti-Maori, D., Sikaneta, I., Gierull, C.H.,
Optimum SAR/GMTI Processing and Its Application to the Radar Satellite RADARSAT-2 for Traffic Monitoring,
GeoRS(50), No. 10, October 2012, pp. 3868-3881.
IEEE DOI 1210
BibRef

Cerutti-Maori, D., Sikaneta, I., Klare, J., Gierull, C.H.,
MIMO SAR Processing for Multichannel High-Resolution Wide-Swath Radars,
GeoRS(52), No. 8, August 2014, pp. 5034-5055.
IEEE DOI 1403
Azimuth BibRef

Sikaneta, I., Gierull, C.H., Cerutti-Maori, D.,
Optimum Signal Processing for Multichannel SAR: With Application to High-Resolution Wide-Swath Imaging,
GeoRS(52), No. 10, October 2014, pp. 6095-6109.
IEEE DOI 1407
Antenna measurements BibRef

Gierull, C.H., Sikaneta, I., Cerutti-Maori, D.,
Two-Step Detector for RADARSAT-2's Experimental GMTI Mode,
GeoRS(51), No. 1, January 2013, pp. 436-454.
IEEE DOI 1301
BibRef

Cerutti-Maori, D., Sikaneta, I.,
A Generalization of DPCA Processing for Multichannel SAR/GMTI Radars,
GeoRS(51), No. 1, January 2013, pp. 560-572.
IEEE DOI 1301
Cited by 1 BibRef

Baumgartner, S.V., Krieger, G.,
Fast GMTI Algorithm For Traffic Monitoring Based On A Priori Knowledge,
GeoRS(50), No. 11, November 2012, pp. 4626-4641.
IEEE DOI 1210
BibRef

Baumgartner, S.V., Krieger, G.,
Dual-Platform Large Along-Track Baseline GMTI,
GeoRS(54), No. 3, March 2016, pp. 1554-1574.
IEEE DOI 1603
Ground Moving Target Indicator. Acceleration BibRef

Dubska, M.[Marketa], Herout, A.[Adam], Juranek, R., Sochor, J.[Jakub],
Fully Automatic Roadside Camera Calibration for Traffic Surveillance,
ITS(16), No. 3, June 2015, pp. 1162-1171.
IEEE DOI 1506
BibRef
Earlier: A1, A2, A4, Only:
Automatic Camera Calibration for Traffic Understanding,
BMVC14(xx-yy).
HTML Version. 1410
Calibration BibRef

Sochor, J.[Jakub], Herout, A.[Adam],
Unsupervised Processing of Vehicle Appearance for Automatic Understanding in Traffic Surveillance,
DICTA15(1-8)
IEEE DOI 1603
calibration BibRef

Leitloff, J.[Jens], Rosenbaum, D.[Dominik], Kurz, F.[Franz], Meynberg, O.[Oliver], Reinartz, P.[Peter],
An Operational System for Estimating Road Traffic Information from Aerial Images,
RS(6), No. 11, 2014, pp. 11315-11341.
DOI Link 1412
BibRef

van Huis, J.[Jasper], van Eekeren, A.[Adam], Baan, J.[Jan], Eendebak, P.[Pieter],
Vehicle-tracking in wide-area motion imagery from an airborne platform,
SPIE(Newsroom), December 8, 2015
DOI Link 1602
Automatic detection and tracking of vehicles in high-resolution video data can support fast image analysis for large amounts of data. BibRef

Attique, M.[Muhammad], Cho, H.J.[Hyung-Ju], Jin, R.[Rize], Chung, T.S.[Tae-Sun],
Efficient Processing of Continuous Reverse k Nearest Neighbor on Moving Objects in Road Networks,
IJGI(5), No. 12, 2016, pp. 247.
DOI Link 1612
BibRef

Ke, R., Li, Z., Kim, S., Ash, J., Cui, Z., Wang, Y.,
Real-Time Bidirectional Traffic Flow Parameter Estimation From Aerial Videos,
ITS(18), No. 4, April 2017, pp. 890-901.
IEEE DOI 1704
Parameter estimation BibRef

Ke, R., Li, Z., Tang, J., Pan, Z., Wang, Y.,
Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow,
ITS(20), No. 1, January 2019, pp. 54-64.
IEEE DOI 1901
Parameter estimation, Monitoring, Roads, Unmanned aerial vehicles, Optical imaging, Estimation, Adaptive optics, traffic flow parameter BibRef

Benedek, C.[Csaba],
An Embedded Marked Point Process Framework for Three-Level Object Population Analysis,
IP(26), No. 9, September 2017, pp. 4430-4445.
IEEE DOI 1708
BibRef
Earlier:
A Two-Layer Marked Point Process Framework for Multilevel Object Population Analysis,
ICIAR13(160-169).
Springer DOI 1307
Bayes methods, image segmentation, optimisation, Bayesian segmentation, LIDAR, MPP generalization model, complex hierarchical object structure extraction, embedded marked point process framework, global optimization process, mobile laser scanning, multilayer framework, object-subobject ensemble, optical circuit inspection, optimal entity configuration, parent-child relationship, probabilistic approach, three-level object population analysis, vision application, Adaptation models, Data models, Image processing, Shape, Sociology, Statistics, Marked point process, object population analysis, scene parsing BibRef

Zhang, H.B.[Hai-Bo],
The literature review of action recognition in traffic context,
JVCIR(58), 2019, pp. 63-66.
Elsevier DOI 1901
Traffic, Action recognition, iDT, Deep learning, C3D BibRef

Ao, W., Fu, Y., Hou, X., Xu, F.,
Needles in a Haystack: Tracking City-Scale Moving Vehicles From Continuously Moving Satellite,
IP(29), No. 1, 2020, pp. 1944-1957.
IEEE DOI 1912
Satellites, Videos, Optical imaging, Task analysis, Earth, Vehicle dynamics, Surveillance, Tiny object detection, vehicle detection BibRef

Tian, Y.M.[Yu-Min], Peng, C.H.[Chen-Hui], Wang, D.[Di], Wan, B.[Bo],
High confidence detection for moving target in aerial video,
IET-IPR(13), No. 14, 12 December 2019, pp. 2724-2734.
DOI Link 1912
BibRef

Ke, R.M.[Rui-Min], Feng, S.[Shuo], Cui, Z.Y.[Zhi-Yong], Wang, Y.H.[Yin-Hai],
Advanced framework for microscopic and lane-level macroscopic traffic parameters estimation from UAV video,
IET-ITS(14), No. 7, July 2020, pp. 724-734.
DOI Link 2006
BibRef

Steyer, S., Lenk, C., Kellner, D., Tanzmeister, G., Wollherr, D.,
Grid-Based Object Tracking With Nonlinear Dynamic State and Shape Estimation,
ITS(21), No. 7, July 2020, pp. 2874-2893.
IEEE DOI 2007
Estimation, Vehicle dynamics, Object tracking, Radar tracking, Shape, Robot sensing systems, Autonomous vehicles, state estimation BibRef

Shi, F.[Fan], Qiu, F.[Fang], Li, X.[Xiao], Tang, Y.W.[Yun-Wei], Zhong, R.F.[Ruo-Fei], Yang, C.K.[Can-Kun],
A Method to Detect and Track Moving Airplanes from a Satellite Video,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Wang, Y.M.[Yun-Ming], Wang, T.Y.[Tao-Yang], Zhang, G.[Guo], Cheng, Q.[Qian], Wu, J.Q.[Jia-Qi],
Small Target Tracking in Satellite Videos Using Background Compensation,
GeoRS(58), No. 10, October 2020, pp. 7010-7021.
IEEE DOI 2009
Target tracking, Satellites, Videos, Training, Correlation, Feature extraction, Monitoring, Correlation filtering, robustness, target tracking satellite video BibRef

Rodríguez-Benito, C.[Cristina], Caballero, I.[Isabel], Nieto, K.[Karen], Navarro, G.[Gabriel],
Observation of Maritime Traffic Interruption in Patagonia during the COVID-19 Lockdown Using Copernicus Sentinel-1 Data and Google Earth Engine,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Chen, X.Q.[Xin-Qiang], Li, Z.B.[Zhi-Bin], Yang, Y.S.[Yong-Sheng], Qi, L.[Lei], Ke, R.M.[Rui-Min],
High-Resolution Vehicle Trajectory Extraction and Denoising From Aerial Videos,
ITS(22), No. 5, May 2021, pp. 3190-3202.
IEEE DOI 2105
Trajectory, Image edge detection, Videos, Unmanned aerial vehicles, Detectors, Vehicle detection, Cameras, Vehicle trajectory, data quality control BibRef

Azimi, S.M.[Seyed Majid], Kraus, M.[Maximilian], Bahmanyar, R.[Reza], Reinartz, P.[Peter],
Multiple Pedestrians and Vehicles Tracking in Aerial Imagery Using a Convolutional Neural Network,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Macioszek, E.[Elzbieta], Kurek, A.[Agata],
Extracting Road Traffic Volume in the City before and during COVID-19 through Video Remote Sensing,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Ryan, A.[Alyssa], Ai, C.B.[Cheng-Bo], Knodler, M.[Michael], Fitzpatrick, C.[Cole],
Evaluation of small unmanned aerial system highway volume and speed-sensing applications,
IET-ITS(15), No. 1, 2021, pp. 84-97.
DOI Link 2106
BibRef

Stevens, M.[Mia], Atkins, E.[Ella],
Geofence Definition and Deconfliction for UAS Traffic Management,
ITS(22), No. 9, September 2021, pp. 5880-5889.
IEEE DOI 2109
Companies, Aircraft, Airports, Vehicle dynamics, Trajectory, Military aircraft, Intelligent transportation systems, air traffic control (ATC) BibRef

Byun, S.[Sungwoo], Shin, I.K.[In-Kyoung], Moon, J.[Jucheol], Kang, J.Y.[Ji-Young], Choi, S.I.[Sang-Il],
Road Traffic Monitoring from UAV Images Using Deep Learning Networks,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Xing, W.W.[Wei-Wei], Yang, Y.X.[Yu-Xiang], Zhang, S.L.[Shun-Li], Yu, Q.[Qi], Wang, L.Q.[Li-Qiang],
NoisyOTNet: A Robust Real-Time Vehicle Tracking Model for Traffic Surveillance,
CirSysVideo(32), No. 4, April 2022, pp. 2107-2119.
IEEE DOI 2204
Target tracking, Tracking, Noise measurement, Robustness, Real-time systems, Space vehicles, Surveillance, parameter space noise BibRef

Zhang, C.[Chi], Tang, Z.Z.[Zhong-Ze], Zhang, M.[Min], Wang, B.[Bo], Hou, L.[Lei],
Developing a More Reliable Aerial Photography-Based Method for Acquiring Freeway Traffic Data,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Qiu, M.[Mulan], Huang, L.[Liang], Tang, B.H.[Bo-Hui],
ASFF-YOLOv5: Multielement Detection Method for Road Traffic in UAV Images Based on Multiscale Feature Fusion,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Li, X.H.[Xiao-He], Wu, J.P.[Jian-Ping],
Extracting High-Precision Vehicle Motion Data from Unmanned Aerial Vehicle Video Captured under Various Weather Conditions,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef


Ajmar, A., Arco, E., Boccardo, P.,
Definition of A Methodology to Derive Road Network Functional Hierarchy Classes Using Car Tracking Data,
ISPRS20(B4:307-312).
DOI Link 2012
BibRef

Chen, P.Y., Hsieh, J.W., Gochoo, M., Chang, M.C., Wang, C.Y., Chen, Y.S., Liao, H.Y.M.,
Drone-Based Vehicle Flow Estimation and its Application to Traffic Conflict Hotspot Detection at Intersections,
ICIP20(1521-1525)
IEEE DOI 2011
Small object detection, traffic flow estimation, traffic conflict hot spot detection, edge computing BibRef

Workman, S., Jacobs, N.,
Dynamic Traffic Modeling From Overhead Imagery,
CVPR20(12312-12321)
IEEE DOI 2008
Roads, Urban areas, Image segmentation, Computational modeling, Data models, Vehicles BibRef

Song, W.F.[Wen-Feng], Li, S.[Shuai], Guo, Y.T.[Yu-Ting], Li, S.Q.[Shao-Qi], Hao, A.[Aimin], Qin, H.[Hong], Zhao, Q.P.[Qin-Ping],
Meta Transfer Learning for Adaptive Vehicle Tracking in UAV Videos,
MMMod20(I:764-777).
Springer DOI 2003
BibRef

Chen, X., Sui, H.,
Real-time Tracking in Satellite Videos Via Joint Discrimination And Pose Estimation,
PTVSBB19(23-29).
DOI Link 1912
BibRef

Uzkent, B., Seo, Y.,
EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object Tracking,
WACV18(1133-1141)
IEEE DOI 1806
embedded systems, feature extraction, image motion analysis, learning (artificial intelligence), Training BibRef

Zhang, J., Jia, X., Hu, J.,
Motion Flow Clustering for Moving Vehicle Detection from Satellite High Definition Video,
DICTA17(1-7)
IEEE DOI 1804
image motion analysis, image sequences, object detection, pattern clustering, road traffic, road vehicles, Vehicle detection BibRef

Uzkent, B., Hoffman, M.J., Vodacek, A.,
Real-Time Vehicle Tracking in Aerial Video Using Hyperspectral Features,
MoveSurveillance16(1443-1451)
IEEE DOI 1612
BibRef

Poostchi, M., Aliakbarpour, H., Viguier, R., Bunyak, F., Palaniappan, K., Seetharaman, G.,
Semantic Depth Map Fusion for Moving Vehicle Detection in Aerial Video,
Traffic16(1575-1583)
IEEE DOI 1612
BibRef

Apeltauer, J., Babinec, A., Herman, D., Apeltauer, T.,
Automatic Vehicle Trajectory Extraction for Traffic Analysis from Aerial Video Data,
PIA15(9-15).
DOI Link 1504
BibRef

Boyle, J., Nawaz, T., Ferryman, J.,
Deep trajectory representation-based clustering for motion pattern extraction in videos,
AVSS17(1-6)
IEEE DOI 1806
feature extraction, image motion analysis, image representation, learning (artificial intelligence), neural nets, Videos BibRef

Nawaz, T.[Tahir], Cavallaro, A.[Andrea], Rinner, B.[Bernhard],
Trajectory clustering for motion pattern extraction in aerial videos,
ICIP14(1016-1020)
IEEE DOI 1502
Cameras BibRef

Hößler, T.[Tom], Landgraf, T.[Tom],
Automated Traffic Analysis in Aerial Images,
ICCVG14(262-269).
Springer DOI 1410
BibRef

Craciun, P.[Paula], Zerubia, J.B.[Josiane B.],
Unsupervised marked point process model for boat extraction in harbors from high resolution optical remotely sensed images,
ICIP13(4122-4125)
IEEE DOI 1402
high resolution BibRef

Chen, Z.Z.[Ze-Zhi], Ellis, T.[Tim],
Automatic lane detection from vehicle motion trajectories,
AVSS13(466-471)
IEEE DOI 1311
Active contours BibRef

Krauß, T.,
Exploiting Satellite Focal Plane Geometry for Automatic Extraction of Traffic Flow from Single Optical Satellite Imagery,
LandImaging14(179-187).
DOI Link 1411
BibRef

Krauß, T., Stätter, R., Philipp, R., Bräuninger, S.,
Traffic Flow Estimation from Single Satellite Images,
SMPR13(241-246).
DOI Link 1311
BibRef

Prokaj, J.[Jan], Zhao, X.M.[Xue-Mei], Choi, J.M.[Jong-Moo], Medioni, G.[Gerard],
Big Data Scalability Issues in WAAS,
BDCV13(399-406)
IEEE DOI
PDF File. 1309
Wide Area Aerial Surveillance. Very large images, 1-2 per second. Vehicle tracking. BibRef

Bores, A.[Attila], Benedek, C.[Csaba],
Urban traffic monitoring from aerial LIDAR data with a Two-Level Marked Point Process model,
ICPR12(1379-1382).
WWW Link. 1302
BibRef

Eslami, M., Faez, K.,
Automatic traffic monitoring using neural networks from satellite images,
ICARCV10(1616-1621).
IEEE DOI 1109
BibRef

Lenhart, D.[Dominik], Hinz, S.[Stefan],
Refining Correctness of Vehicle Detection and Tracking in Aerial Image Sequences by Means of Velocity and Trajectory Evaluation,
CMRT09(181-186).
PDF File. 0909
BibRef
Earlier:
Automatic Vehicle Tracking in Low Frame Rate Aerial Image Sequences,
PCV06(xx-yy).
PDF File. 0609
BibRef

Rosenbaum, D., Charmette, B., Kurz, F., Suri, S., Thomas, U., Reinartz, P.,
Automatic Traffic Monitoring from an Airborne Wide Angle Camera System,
ISPRS08(B3b: 557 ff).
PDF File. 0807
BibRef

Kurz, F., Charmette, B., Suri, S., Rosenbaum, D., Spangler, M., Leonhardt, A., Bachleitner, M., Stätter, R., Reinartz, P.,
Automatic Traffic Monitoring with Airborne Wide-Angle Digital Camera System for Estimation of Travel Times,
PIA07(83).
PDF File. 0711
BibRef

Li, Y.[Yu],
Vehicle Extraction Using Histogram and Genetic Algorithm Based Fuzzy Image Segmentation from High Resolution UAV Aerial Imagery,
ISPRS08(B3b: 529 ff).
PDF File. 0807
BibRef

Yu, W.S.[Wen-Shuai], Yu, X.C.[Xu-Chu], Zhang, P.Q.[Peng-Qiang], Zhou, J.[Jun],
A New Framework of Moving Target Detection and Tracking for UAV Video Application,
ISPRS08(B3b: 609 ff).
PDF File. 0807
BibRef

Xiao, J.J.[Jiang-Jian], Yang, C.J.[Chang-Jiang], Han, F.[Feng], Cheng, H.[Hui],
Vehicle and Person Tracking in Aerial Videos,
MTPH07(xx-yy).
Springer DOI 0705
BibRef

Zhang, H.[Hong], Yuan, F.[Fei],
Vehicle Tracking Based on Image Alignment in Aerial Videos,
EMMCVPR07(295-302).
Springer DOI 0708
BibRef

Ernst, I., Hetscher, M., Thiessenhusen, K., Ruhé, M., Börner, A., Zuev, S.,
New Approaches for Real Time Traffic Data Acquisition with Airborne Systems,
CMRT05(xx-yy).
PDF File. 0508
BibRef

Kaaniche, K., Vasseur, P.,
Event Detection Based on 'Common Fate' Principle: Application to Vehicles Detection from Aerial Sequences of Road Traffic,
ICIP05(I: 1105-1108).
IEEE DOI 0512
BibRef

Molinier, M.[Matthieu], Häme, T.[Tuomas], Ahola, H.[Heikki],
3D-Connected Components Analysis for Traffic Monitoring in Image Sequences Acquired from a Helicopter,
SCIA05(141-150).
Springer DOI 0506
BibRef

Sikaneta, I.C., Gierull, C.H.,
Two-Channel SAR Ground Moving Target Indication for Traffic Monitoring in Urban Terrain,
CMRT05(xx-yy).
PDF File. 0508
BibRef

Gerhardinger, A., Ehrlich, D.[Daniele], Pesaresi, M.[Martino],
Vehicles Detection from Very High Resolution Satellite Imagery,
CMRT05(xx-yy).
PDF File. 0508
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Applied Traffic Surveillance, Traffic Events, Red Lights, Parking .


Last update:Nov 26, 2024 at 16:40:19