16.7.2.6 Surveillance of Vehicles and Occupants, Driver Monitoring

Chapter Contents (Back)
Event Understanding. Surveillance. More the individual vehicle issues, not general traffic monitoring. See also Traffic Surveillance, Analysis of Traffic. Eye, Gaze monitoring: See also Driver Monitoring, Eyes, Gaze.

Huang, T.[Timothy], Russell, S.[Stuart],
Object identification: A Bayesian analysis with application to traffic surveillance,
AI(103), No. 1-2, August 1998, pp. 77-93.
Elsevier DOI The task of deciding that two objects are really the same object. Define an identity criterion and an appearance probability. Recognize cars in widely spaced cameras. BibRef 9808

Koller, D.[Dieter], Weber, J.W.[Joseph W.], Huang, T.S., Malik, J., Ogasawara, G., Rao, B., Russell, S.,
Towards Robust Automatic Traffic Scene Analysis in Real-Time,
ICPR94(A:126-131).
IEEE DOI BibRef 9400

Aste, M., Rossi, M., Cattoni, R., Caprile, B.,
Visual Routines for Real Time Monitoring of Vehicle Behavior,
MVA(11), No. 1, 1998, pp. 16-23.
Springer DOI 9808
BibRef

Burlina, P., Chellappa, R.,
Temporal Analysis of Motion in Video Sequences Through Predictive Operators,
IJCV(28), No. 2, June-July 1998, pp. 175-192.
DOI Link 9808
BibRef

Burlina, P., Chellappa, R., Lin, C.L.,
A Spectral Attentional Mechanism Tuned to Object Configurations,
IP(6), No. 8, August 1997, pp. 1117-1128.
IEEE DOI 9708
See also Adaptive Target Detection in Foliage-Penetrating SAR Images Using Alpha-Stable Models. BibRef

Chellappa, R., Burlina, P., Zheng, Q., Shekhar, C., Davis, L.S.,
Temporal Analysis of Vehicular Activities from SAR/EO,
DARPA97(415-424). BibRef 9700

Chellappa, R.[Rama], Burlina, P.[Phillipe], Davis, L.S.[Larry S.], Rosenfeld, A.[Azriel],
SAR/EO Vehicular Activity Analysis System Guided by Temporal and Contextual Information,
DARPA98(615-620). BibRef 9800

Burlina, P.[Philippe], Lin, B.[Bruce], Chellappa, R.[Rama],
On a Spectral Attentional Mechanism,
CVPR96(120-127).
IEEE DOI Find areas with vehicles, using spectral computations. BibRef 9600

Tunali, G.D.[Gamze D.], Chellappa, R.[Rama], Burlina, P.[Philippe],
Following and Monitoring Roads on Airborne Video,
UMD--TR3990, February 1999.
WWW Link. BibRef 9902

Cetintemel, G.D., Burlina, P.,
On-the-fly snake construction from video,
ICIP98(III: 638-642).
IEEE DOI 9810
BibRef

Burlina, P., Cetintemel, G.D.,
On-the-Fly Road Tracking from video,
DARPA98(223-227). Snakes BibRef 9800

Davis, L.S.[Larry S.], Challappa, R.[Rama], Rosenfeld, A.[Azriel], Harwood, D.[David], Haritaoglu, I.[Ismail], Cutler, R.[Ross],
Visual Surveillance and Monitoring,
DARPA98(73-76). BibRef 9800

Chellappa, R., Burlina, P., Phillips, W., Cetintemel, G.D., Shekhar, C., Parameswaran, V., Davis, L.S., and Rosenfeld, A.,
Context-based Analysis and Reasoning on Vehicular Activities in SAR-EO Imagery,
UMD-- F33615, February 1998. Tracking and understanding of vehicular activity from intermittent observations.
PS File. BibRef 9802

Pavlidis, I., Morellas, V., Papanikolopoulos, N.P.,
A vehicle occupant counting system based on near-infrared phenomenology and fuzzy neural classification,
ITS(1), No. 2, June 2000, pp. 72-85.
IEEE Abstract. 0402
BibRef

Pavlidis, I., Symosek, P., Fritz, B., Bazakos, M., Papanikolopoulos, N.P.,
Automatic detection of vehicle occupants: The Imaging Problem and its solution,
MVA(11), No. 6, 2000, pp. 313-320.
Springer DOI 0005
BibRef

Pavlidis, I., Symosek, P., Fritz, B., Papanikolopoulos, N.P.,
A Near-Infrared Fusion Scheme for Automatic Detection of Vehicle Passengers,
CVBVS99(41).
IEEE DOI BibRef 9900

Masoud, O.T., Papanikolopoulos, N.P., Kwon, E.,
The use of computer vision in monitoring weaving sections,
ITS(2), No. 1, March 2001, pp. 18-25.
IEEE Abstract. 0402
BibRef

Veeraraghavan, H., Masoud, O.T., Papanikolopoulos, N.P.,
Computer vision algorithms for intersection monitoring,
ITS(4), No. 2, June 2003, pp. 78-89.
IEEE Abstract. 0402
BibRef

Atev, S., Arumugam, H., Masoud, O.T., Janardan, R., Papanikolopoulos, N.P.,
A vision-based approach to collision prediction at traffic intersections,
ITS(6), No. 4, December 2005, pp. 416-423.
IEEE DOI 0601
BibRef

Atev, S., Miller, G., Papanikolopoulos, N.P.,
Clustering of Vehicle Trajectories,
ITS(11), No. 3, September 2010, pp. 647-657.
IEEE DOI 1003
BibRef

Ferryman, J.M.[James M.], Maybank, S.J.[Stephen J.], Worrall, A.D.[Anthony D.],
Visual Surveillance for Moving Vehicles,
IJCV(37), No. 2, June 2000, pp. 187-197.
DOI Link 0008
BibRef
Earlier: VS98(Monitoring and Surveillance of Traffic Scenes). BibRef

Morris, R.J., Hogg, D.C.,
Statistical Models of Object Interaction,
IJCV(37), No. 2, June 2000, pp. 209-215.
DOI Link 0008
BibRef
Earlier: VS98(Monitoring and Surveillance of Traffic Scenes). BibRef

Shekhar, C.[Chandra], and Chellappa, R.[Rama],
Airborne Video Registration for Activity Monitoring,
VideoRegister03(Chapter 6). BibRef 0300

Jung, Y.K.[Young-Kee], Lee, K.W.[Kyu-Won], Ho, Y.S.[Yo-Sung],
Content-based event retrieval using semantic scene interpretation for automated traffic surveillance,
ITS(2), No. 3, September 2001, pp. 151-163.
IEEE Abstract. 0402
BibRef

Manolakis, D.E.,
Comment on 'Content-Based Event Retrieval Using Semantic Scene Interpretation for Automated Traffic Surveillance',
ITS(5), No. 3, September 2004, pp. 219-219.
IEEE Abstract. 0501
See also Content-based event retrieval using semantic scene interpretation for automated traffic surveillance. BibRef

Srinivasan, D., Jin, X.[Xin], Cheu, R.L.,
Evaluation of adaptive neural network models for freeway incident detection,
ITS(5), No. 1, March 2004, pp. 1-11.
IEEE Abstract. 0501
BibRef

Tang, S., Gao, H.,
Traffic-Incident Detection-Algorithm Based on Nonparametric Regression,
ITS(6), No. 1, March 2005, pp. 38-42.
IEEE Abstract. 0501
BibRef

Oh, C.[Cheol], Ritchie, S.G.[Stephen G.],
Recognizing vehicle classification information from blade sensor signature,
PRL(28), No. 9, 1 July 2007, pp. 1041-1049.
Elsevier DOI 0704
Probabilistic neural network; Vehicle classification; Traffic surveillance BibRef

Takagi, A.[Akira], Imanishi, M.[Masayuki], Goto, T.[Tomoyuki], Sato, H.[Hironori],
Apparatus for protecting occupant in vehicle,
US_Patent7,139,410, Nov 21, 2006
WWW Link. BibRef 0611

Micheloni, C.[Christian], Snidaro, L.[Lauro], Foresti, G.L.[Gian Luca],
Exploiting Temporal Statistics for Events Analysis and Understanding,
IVC(27), No. 10, 2 September 2009, pp. 1459-1469.
Elsevier DOI 0906
BibRef
And: Add A3: Piciarelli, C.[Claudio], CIAP07(530-535).
IEEE DOI 0709
BibRef
Earlier: A3, A1, A2:
Event classification for automatic visual-based surveillance of parking lots,
ICPR04(III: 314-317).
IEEE DOI 0409
Apply to parking lots. Event analysis; Event understanding; Video surveillance; Security BibRef

Falcone, P., Ali, M., Sjoberg, J.,
Predictive Threat Assessment via Reachability Analysis and Set Invariance Theory,
ITS(12), No. 4, December 2011, pp. 1352-1361.
IEEE DOI 1112
BibRef

Huang, S.S.,
Discriminatively trained patch-based model for occupant classification,
IET-ITS(6), No. 2, 2012, pp. 132-138.
DOI Link 1206
BibRef

Chiverton, J.,
Helmet presence classification with motorcycle detection and tracking,
IET-ITS(6), No. 2, 2012, pp. 259-269.
DOI Link 1209
BibRef

Ranta, R., Decoster, Y., Orlewski, P.,
Detection of human presence in a vehicle by vibration analysis,
IET-ITS(6), No. 4, 2012, pp. 413-420.
DOI Link 1302
BibRef

Untaroiu, C.D., Adam, T.J.,
Performance-Based Classification of Occupant Posture to Reduce the Risk of Injury in a Collision,
ITS(14), No. 2, 2013, pp. 565-573.
IEEE DOI 1307
crash simulations; injury risk reduction; occupant posture; BibRef

Zheng, R.[Rencheng], Nakano, K., Okamoto, Y., Ohori, M., Hori, S., Suda, Y.,
Evaluation of Sternocleidomastoid Muscle Activity of a Passenger in Response to a Car's Lateral Acceleration While Slalom Driving,
HMS(43), No. 4, 2013, pp. 405-415.
IEEE DOI 1307
biomechanics BibRef

Li, N., Jain, J.J., Busso, C.,
Modeling of Driver Behavior in Real World Scenarios Using Multiple Noninvasive Sensors,
MultMed(15), No. 5, 2013, pp. 1213-1225.
IEEE DOI 1307
Accuracy BibRef

Levchuk, G.[Georgiy],
Detecting co-ordinated activities from persistent surveillance,
SPIE(Newsroom), June 5, 2013
DOI Link 1307
Algorithms identifying the behavior patterns of people and vehicles in wide-area motion imagery can extract intelligence from data that is too large to process manually. BibRef

Martin, S., Tawari, A., Trivedi, M.M.,
Toward Privacy-Protecting Safety Systems for Naturalistic Driving Videos,
ITS(15), No. 4, August 2014, pp. 1811-1822.
IEEE DOI 1410
behavioural sciences computing BibRef

Hwang, Y.[Yoonsook], Yoon, D.[Daesub], Kim, H.S.[Hyun Suk], Kim, K.H.[Kyong-Ho],
A Validation Study on a Subjective Driving Workload Prediction Tool,
ITS(15), No. 4, August 2014, pp. 1835-1843.
IEEE DOI 1410
automobiles BibRef

Yu, T.[Teng], Shin, H.[Hyunchul],
Detecting partially occluded vehicles with geometric and likelihood reasoning,
IET-CV(9), No. 2, 2015, pp. 174-183.
DOI Link 1506
geometry BibRef

Agostino, C., Saidi, A., Scouarnec, G., Chen, L.,
Learning-Based Driving Events Recognition and Its Application to Digital Roads,
ITS(16), No. 4, August 2015, pp. 2155-2166.
IEEE DOI 1508
Acceleration BibRef

Yan, C., Coenen, F., Zhang, B.,
Driving posture recognition by convolutional neural networks,
IET-CV(10), No. 2, 2016, pp. 103-114.
DOI Link 1603
driver information systems BibRef

Moreira-Matias, L., Farah, H.,
On Developing a Driver Identification Methodology Using In-Vehicle Data Recorders,
ITS(18), No. 9, September 2017, pp. 2387-2396.
IEEE DOI 1709
Cohen Kappa agreement score, driver identification methodology, Face, Iris recognition BibRef


Tu, I.[Ian], Bhalerao, A.[Abhir], Griffiths, N.[Nathan], Delgado, M.[Mauricio], Popham, T.[Thomas], Mouzakitis, A.[Alex],
Deep Passenger State Monitoring Using Viewpoint Warping,
CIAP17(II:137-148).
Springer DOI 1711
BibRef

Le, T.H.N.[T. Hoang Ngan], Zheng, Y.T.[Yu-Tong], Zhu, C.C.[Chen-Chen], Luu, K.[Khoa], Savvides, M.[Marios],
Multiple Scale Faster-RCNN Approach to Driver's Cell-Phone Usage and Hands on Steering Wheel Detection,
CVVT16(46-53)
IEEE DOI 1612
BibRef

Perrett, T.[Toby], Mirmehdi, M.[Majid],
Cost-Based Feature Transfer for Vehicle Occupant Classification,
CVTSV16(I: 405-419).
Springer DOI 1704
BibRef

Seshadri, K.[Keshav], Juefei-Xu, F.[Felix], Pal, D.K.[Dipan K.], Savvides, M.[Marios], Thor, C.P.[Craig P.],
Driver cell phone usage detection on Strategic Highway Research Program (SHRP2) face view videos,
CVVT15(35-43)
IEEE DOI 1510
Agriculture BibRef

Yamada, K.[Keiichi], Mitani, T.[Tomonori],
Estimating Driver Awareness of Crossing Pedestrians While Turning Left Based on Vehicle Behavior Using Bayesian Approach,
ICPR14(1898-1903)
IEEE DOI 1412
Bayes methods BibRef

Brun, L.[Luc], Cappellania, B.[Benito], Saggese, A.[Alessia], Vento, M.[Mario],
Detection of anomalous driving behaviors by unsupervised learning of graphs,
AVSS14(405-410)
IEEE DOI 1411
Clustering algorithms BibRef

Artan, Y.[Yusuf], Paul, P.[Peter], Perronin, F.[Florent], Burry, A.[Aaron],
Comparison of face detection and image classification for detecting front seat passengers in vehicles,
WACV14(1006-1012)
IEEE DOI 1406
Cameras BibRef

Buemi, F.[Francesco], Esposito, M.[Mariana],
Empty Vehicle Detection with Video Analytics,
CIAP13(II:731-739).
Springer DOI 1309
BibRef

Hao, X.L.[Xiao-Li], Chen, H.J.[Hou-Jin], Yao, C.[Chang], Yang, N.[Na], Bi, H.J.[Hong-Jun], Wang, C.L.[Chang-Li],
A near-infrared imaging method for capturing the interior of a vehicle through windshield,
Southwest10(109-112).
IEEE DOI 1005
BibRef

Pérez-Jiménez, A.J.[Alberto J.], Guardiola, J.L.[Jose Luis], Pérez-Cortés, J.C.[Juan Carlos],
High Occupancy Vehicle Detection,
SSPR08(782-789).
Springer DOI 0812
BibRef

Denman, S.[Simon], Fookes, C.[Clinton], Cook, J.A., Davoren, C., Mamic, A., Farquharson, G., Chen, D., Chen, B., Sridharan, S.[Sridha],
Multi-view Intelligent Vehicle Surveillance System,
AVSBS06(26-26).
IEEE DOI 0611
BibRef

Denman, S.[Simon], Chandran, V.[Vinod], Sridharan, S.[Sridha], Fookes, C.[Clinton],
A Multi-Class Tracker Using a Scalable Condensation Filter,
AVSBS06(25-25).
IEEE DOI 0611
BibRef

Kennedy, K.R.[Karl R.], Nathan, J.F.[John F.], Shridhar, M.,
An LVQ-based Automotive Occupant Classification System,
ICPR06(II: 662-665).
IEEE DOI 0609
BibRef

Teshima, T.[Tomoaki], Saito, H.[Hideo], Ozawa, S.J.[Shin-Ji], Yamamoto, K.[Keiichi], Ihara, T.[Toru],
Vehicle Lateral Position Estimation Method Based on Matching of Top-View Images,
ICPR06(IV: 626-629).
IEEE DOI 0609
BibRef

Niu, C.[Chaowei], Grimson, W.E.L.[W. Eric L.],
Recovering Non-overlapping Network Topology Using Far-field Vehicle Tracking Data,
ICPR06(IV: 944-949).
IEEE DOI 0609
BibRef

Li, L.[Li], Wang, F.Y.[Fei-Yue],
Approximate Vehicle Waiting Time Estimation Using Adaptive Video-Based Vehicle Tracking,
IWICPAS06(105-114).
Springer DOI 0608
BibRef

Tan, R.[Rui], Huo, H.[Hong], Qian, J.[Jin], Fang, T.[Tao],
Traffic Video Segmentation Using Adaptive-K Gaussian Mixture Model,
IWICPAS06(125-134).
Springer DOI 0608
BibRef

Liu, H.[Hong], Li, J.T.[Jin-Tao], Qian, Y.L.[Yue-Liang], Lin, S.X.[Shou-Xun], Liu, Q.[Qun],
Motion and Gray Based Automatic Road Segment Method MGARS in Urban Traffic Surveillance,
IWICPAS06(85-94).
Springer DOI 0608
BibRef

Jodoin, J.P.[Jean-Philippe], Bilodeau, G.A.[Guillaume-Alexandre], Saunier, N.[Nicolas],
Urban Tracker: Multiple object tracking in urban mixed traffic,
WACV14(885-892)
IEEE DOI 1406
Computational modeling BibRef

Saunier, N., Sayed, T.,
A feature-based tracking algorithm for vehicles in intersections,
CRV06(59-59).
IEEE DOI 0607
BibRef

Goktuk, S.B., Rafii, A.,
An Occupant Classification System Eigen Shapes or Knowledge-Based Features,
MVIV05(III: 57-57).
IEEE DOI 0507
BibRef

Hosotani, D.[Daisuke], Yoda, I.[Ikushi], Sakaue, K.[Katsuhiko],
Development and Long-Term Verification of Stereo Vision Sensor System for Controlling Safety at Railroad Crossing,
CVS09(154-163).
Springer DOI 0910
BibRef

Yoda, I.[Ikushi], Sakaue, K.[Katsuhiko], Hosotani, D.[Daisuke],
Multi-point Stereo Camera System for Controlling Safety at Railroad Crossings,
CVS06(51).
IEEE DOI 0602
BibRef

Fujiyoshi, H.[Hironobu], Komura, T.[Takeshi], Eguchi, I.[Ikuko], Kayama, K.[Kentaro],
Road Observation and Information Providing System for Supporting Mobility of Pedestrian,
CVS06(37).
IEEE DOI 0602
BibRef

Li, X.K.[Xiao-Kun], Porikli, F.M.,
A hidden markov model framework for traffic event detection using video features,
ICIP04(V: 2901-2904).
IEEE DOI 0505
BibRef

Porikli, F.M.[Fatih M.], Haga, T.[Tetsuji],
Event Detection by Eigenvector Decomposition Using Object and Frame Features,
EventVideo04(114).
IEEE DOI 0502
BibRef

Chan, C.Y.[Ching-Yao], Marco, D., Misener, J.,
Threat assessment of traffic moving toward a controlled intersection,
IVS04(931-936).
WWW Link. 0411
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Yoon, J.J., Ellis, T.J.,
Real-time occupant detection system in an active illumination,
BMVC04(xx-yy).
HTML Version. 0508
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Kong, H.[Henry], Sun, Q.[Qin], Bauson, W.A.[William A.], Kiselewich, S.J.[Stephen J.], Ainslie, P.[Paul], Hammoud, R.I.[Riad I.],
Disparity Based Image Segmentation for Occupant Classification,
OTCBVS04(126).
IEEE DOI 0502
BibRef

Wender, S., Loehlein, O.,
A cascade detector approach applied to vehicle occupant monitoring with an omni-directional camera,
IVS04(345-350).
WWW Link. 0411
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Leitão, A.P., Tilie, S., Ieng, S.S., Vigneron, V.,
Detecting and Classifying Road Turn Directions from a Sequence of Images,
CAIP03(555-562).
Springer DOI 0311
BibRef

Lim, D.W.[Dae-Woon], Choi, S.H.[Sung-Hoon], Jun, J.S.[Joon-Suk],
Automated detection of all kinds of violations at a street intersection using real time individual vehicle tracking,
Southwest02(126-129).
IEEE Top Reference. 0208
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Eikvil, L.[Line], Huseby, R.B.[Ragnar Bang],
Traffic Surveillance in Real-time using Hidden Markov Models,
SCIA01(O-Tu3B). 0206
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Sacchi, C., Regazzoni, C.S., Gera, G., Foresti, G.L.,
Use of Neural Networks for Behaviour Understanding in Railway Transport Monitoring Applications,
ICIP01(I: 541-544).
IEEE DOI 0108
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Lai, A.H.S., Yung, N.H.C.,
A Video-based System Methodology for Detecting Red Light Runners,
MVA98(xx-yy). BibRef 9800

Bremond, F.[Francois], and Medioni, G.[Gerard],
Scenario Recognition in Airborne Video Imagery,
DARPA98(211-216). BibRef 9800 USC Computer Vision BibRef
And: Motion98(xx).
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Zingirian, N., Baglietto, P., Maresca, M., Migliardi, M.,
Customizing MPEG video compression algorithms to specific application domains: The case of highway monitoring,
CIAP97(II: 46-53).
Springer DOI 9709
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Carswell, B., Chandran, V.,
Automated recognition of drunk driving on highways from video sequences,
ICIP94(II: 306-310).
IEEE DOI 9411
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Driver Monitoring, Eyes, Gaze .


Last update:Dec 7, 2017 at 17:23:10