18.3.3 Motion Detection, Analysis of Motion Detectors

Chapter Contents (Back)
Motion, Detection. Motion Detection. Motion Segmentation. Sequences. See also Event Models, Action Models, Motion Detection for Events, Backgrounds.

Change Detection Benchmark Website,
2012 Dataset, Motion Detection.
WWW Link. Dataset for the 2012 Change Detection workshop at CVPR.

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Elsevier DOI BibRef 8902
Earlier: CVWS87(352-354). Analysis of existing motion detectors. BibRef

Liou, S.P.[Shih-Ping],
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IEEE DOI 9411
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von Brandt, A.[Achim],
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Lee, J.C., Sheu, B.J., Fang, W.C., and Chellappa, R.,
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Ishii, H.[Hirofumi], Morimura, A.[Atsushi],
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And:
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US_Patent5,157,732, 10/20/1992
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Earlier:
Image motion vector detecting apparatus,
US_Patent5,111,511, 05/05/1992.
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Nakayama, M.[Mizuo], Kuwajima, S.[Shigesumi], Suzuki, T.[Takahito], Miyake, K.[Kazushi], Shibata, T.[Tsutomu], Seki, C.[Chikashi],
Motion analyzing/advising system,
US_Patent5,111,410, May 5, 1992
WWW Link. BibRef 9205

Watanabe, M.[Mutsumi],
Moving object detecting system,
US_Patent5,103,305, Apr 7, 1992
WWW Link. BibRef 9204

Nouso, K.[Kazunori],
Image movement detecting apparatus,
US_Patent5,233,417, Aug 3, 1993
WWW Link. BibRef 9308

Lee, W.P.[Wade P.], Evans, S.T.[Scott T.],
Motion detector with improved signal discrimination,
US_Patent5,309,147, May 3, 1994
WWW Link. BibRef 9405

Zhang, J.,
Motion Detectors and Motion Segregation,
SV(9), 1995, pp. 261-273. BibRef 9500

Prokopowicz, P.N., Cooper, P.R.,
The Dynamic Retina: Contrast and Motion Detection for Active Vision,
IJCV(16), No. 3, November 1995, pp. 191-204.
Springer DOI BibRef 9511 IJCV(16), No. 3, November 1995, pp. 191-204.
Springer DOI BibRef CVPR93(728-729).
IEEE DOI Detects image contrast using "undesirable" motion. For an extension: See also resonant retina: Exploiting vibration noise to optimally detect edges in an image, The. BibRef

Prokopowicz, P.N.[Peter N.], and Cooper, P.R.[Paul R.],
Integrating Visual Information across Camera Movements with a Visual-Motor Calibration Map,
AAAI-96(1124-1132). BibRef 9600

Blake, A., Hamid, G., Tarassenko, L.,
A Design for a Visual-Motion Transducer,
RA(11), No. 5, October 1995, pp. 625-633. BibRef 9510
Earlier: ICCV93(237-241).
IEEE DOI 0403
BibRef

Okamotoc, Y.[Yasukazu],
Method and apparatus for detecting changes in dynamic images,
US_Patent5,548,659, Aug 20, 1996
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Chen, W.G.[Wei-Ge], Nandhakumar, N., Martin, W.N.,
Image Motion Estimation From Motion Smear: A New Computational Model,
PAMI(18), No. 4, April 1996, pp. 412-425.
IEEE DOI 9605
BibRef
Earlier:
Estimating image motion from smear: a sensor system and extensions,
ICIP95(I: 199-202).
IEEE DOI 9510
BibRef
Earlier:
Investigating a New Visual Cue for Image Motion Estimation: 'Motion-from-Smear',
ICIP94(III: 761-765).
IEEE DOI 9411
BibRef

Markandey, V., Reid, A., Wang, S.,
Motion Estimation for Moving Target Detection,
AeroSys(32), No. 3, July 1996, pp. 866-874. 9608
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Ehara, N., Sasase, I., Mori, S.,
Moving Target Detection by Quadrature Mirror Filter,
ECJ(79), No. 4, April 1996, pp. 55-62. 9605
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Torr, P.H.S., Murray, D.W.,
Statistical Detection of Independent Movement from a Moving Camera,
IVC(11), No. 4, May 1993, pp. 180-187.
Elsevier DOI
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Earlier: BMVC92(79-88).
PDF File. BibRef

Torr, P.H.S., Wong, T., Murray, D.W., Zisserman, A.,
Cooperating Motion Processes,
BMVC91(xx-yy).
PDF File. 9109
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Torr, P.H.S., Murray, D.W.,
Stochastic Motion Clustering,
ECCV94(B:328-337).
Springer DOI BibRef 9400
Earlier:
Outlier Detection and Motion Segmentation,
SPIE(2059), 1993, pp. 432-443. Segment independently moving objects using epipolar constraints. BibRef

Torr, P.H.S.,
Motion Segmentation and Outlier Detection,
Ph.D.Thesis, 1995. BibRef 9500 Oxford Univ.(Ouel 1987/93), 1995. BibRef

Bello, M.G.,
A Random-Field Model-Based Algorithm for Anomalous Complex Image Pixel Detection,
IP(1), No. 2, April 1992, pp. 186-196.
IEEE DOI BibRef 9204

Ardizzone, E., Chella, A., Gaglio, S., Sorbello, F.,
Motion Analysis Using the Novelty Filter,
PRL(12), 1991, pp. 177-182. BibRef 9100

Dinstein, I.,
A New Technique for Visual Motion Alarm,
PRL(8), 1988, pp. 347-351. BibRef 8800

Wei, T.X., Dubuisson, B.,
Some Experiments on the Detection of Three-Dimensional Motion of Rigid Objects in Blocks World,
PRL(4), 1986, pp. 453-464. BibRef 8600

van de Walle, R., Lemahieu, I., Peynsaert, J., Dedeene, Y., Achten, E.,
Motion Detection from the Measured Signals in Magnetic-Resonance-Imaging,
SP(55), No. 3, December 1996, pp. 375-379. 9703
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van de Walle, R., Lemahieu, I., Kerckaert, J., Achten, E.,
Detection of motion during projection reconstruction magnetic resonance imaging,
ICIP96(III: 563-566).
IEEE DOI 9610
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Mester, R.[Rudolf], Aach, T.[Til],
Method for change detection in moving images,
US_Patent5,654,772, Aug 5, 1997
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Choi, J.H., Jang, J.W., Lee, S.P., Kwak, H.S.,
Multiple Moving Object Estimation in Image Sequences of a Natural Scene,
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Chong, M.N., Krishnan, D.,
An Edge-Preserving MRF Model for the Detection of Missing Data in Image Sequences,
SPLetters(5), No. 4, April 1998, pp. 81-83.
IEEE Top Reference. 9804
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Krishnan, D., Chong, M.N., Kalra, S.,
On the Computational Aspects of Gibbs-Markov Random Field Modeling of Missing-Data in Image Sequences,
IP(8), No. 8, August 1999, pp. 1139-1142.
IEEE DOI BibRef 9908

Kalra, S.[Showbhik], Krishnan, D.[Dilip], Chong, M.N.,
A MRF Model Based Scheme for Accurate Detection and Adaptive Interpolation of Missing Data in Highly Corrupted Image Sequences,
ICIP99(II:890-893).
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Adkins, W.A.[William A.], Pierce, J.H.[James H.],
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US_Patent5,742,699, 04/21/1998.
HTML Version. BibRef 9804

Matthews, K.E., Namazi, N.M.,
A Bayes Decision Test for Detecting Uncovered Background and Moving Pixels in Image Sequences,
IP(7), No. 5, May 1998, pp. 720-728.
IEEE DOI 9805
Dept. of Electrical Engineering. The Catholic Univ. of America. See also Simultaneous Motion Estimation and Filtering of Image Sequences. BibRef

Mech, R., Wollborn, M.,
A Noise Robust Method for 2D Shape Estimation of Moving Objects in Video Sequences Considering a Moving Camera,
SP(66), No. 2, April 1998, pp. 203-217. 9807
BibRef

Garrido, L., Salembier, P., Garcia, D.,
Extensive Operators in Partition Lattices for Image Sequence Analysis,
SP(66), No. 2, April 1998, pp. 157-180. 9807
BibRef

Caselles, V., Garrido, L., Igual, L.,
A Contrast Invariant Approach to Motion Estimation,
ScaleSpace05(242-253).
Springer DOI 0505
BibRef

Rowekamp, T.[Thomas], and Peters, L.[Liliane],
A Compact Sensor for Visual Motion Detection,
Videre(1), No. 2, Winter 1998, pp. xx-yy. Hardware implementation.
HTML Version.
PDF File. BibRef 9800

Iliev, P., Tsekov, L.,
Motion detection using image histogram sequence analysis,
SP(30), No. 3, 1993, pp. 373-384. BibRef 9300

Marzetta, T.L., Shepp, L.A.,
A Surprising Radon Transform Result and Its Application to Motion Detection,
IP(8), No. 8, August 1999, pp. 1039-1049.
IEEE DOI BibRef 9908
And:
A New Radon Transform Result,
ICIP97(I: 703-706).
IEEE DOI BibRef

Zhang, L.[Lin], Sakurai, T.[Tatsunari], Miike, H.[Hidetoshi],
Detection of motion fields under spatio-temporal non-uniform illumination,
IVC(17), No. 3/4, March 1999, pp. 309-320.
Elsevier DOI BibRef 9903

Chaudhury, K., Mehrotra, R., Srinivasan, C.,
Detecting 3-D Motion Field from Range Image Sequences,
SMC-B(29), No. 2, April 1999, pp. 308.
IEEE Top Reference. BibRef 9904

Cheung, J.F.Y., Wicks, M.C., Genello, G.J., Kurz, L.,
A Statistical Theory for Optimal Detection of Moving Objects in Variable Corruptive Noise,
IP(8), No. 12, December 1999, pp. 1772-1787.
IEEE DOI 9912
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Deng, H., Himed, B., Wicks, M.C.,
Image Feature-Based Space-Time Processing for Ground Moving Target Detection,
SPLetters(13), No. 4, April 2006, pp. 216-219.
IEEE DOI 0604
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Kawahara, K.[Kenji],
Image motion detection device,
US_Patent5,859,672, Jan 12, 1999
WWW Link. BibRef 9901

Ahnn, J.M.[Jeong-Mo],
Half pixel motion estimator,
US_Patent5,936,672, Aug 10, 1999
WWW Link. BibRef 9908

Cho, Y.H.[Yong-Hun],
Motion picture detecting method,
US_Patent5,959,681, Sep 28, 1999
WWW Link. BibRef 9909

Koller, D.P.[David P.], Preschutti, J.P.[Joseph P.],
Video motion detector with global insensitivity,
US_Patent6,130,707, Oct 10, 2000
WWW Link. BibRef 0010

Kashiwazaki, T.[Takashi],
Image processing apparatus, image processing method, navigation apparatus, program storage device and computer data signal embodied in carrier wave,
US_Patent6,249,214, Jun 19, 2001
WWW Link. BibRef 0106

Etienne-Cummings, R.[Ralph],
Biologically Inspired Visual Motion Detection in VLSI,
IJCV(44), No. 3, September-October 2001, pp. 175-198.
DOI Link 0111
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Orchard, G., Etienne-Cummings, R.[Ralph],
Bioinspired Visual Motion Estimation,
PIEEE(102), No. 10, October 2014, pp. 1520-1536.
IEEE DOI 1410
computer vision BibRef

Orchard, G., Meyer, C., Etienne-Cummings, R.[Ralph], Posch, C., Thakor, N., Benosman, R.,
HFirst: A Temporal Approach to Object Recognition,
PAMI(37), No. 10, October 2015, pp. 2028-2040.
IEEE DOI 1509
Computational modeling biologically inspired asynchronous address event representation (AER) vision sensors. BibRef

Rechsteiner, M.[Martin], Mahler, H.[Hansjurg],
Movement detector,
US_Patent6,246,321, Jun 12, 2001
WWW Link. Both visible and IR BibRef 0106

Wu, Q.Z.[Quen-Zong], Cheng, H.Y.[Hsu-Yung], Jeng, B.S.[Bor-Shenn],
Motion detection via change-point detection for cumulative histograms of ratio images,
PRL(26), No. 5, April 2005, pp. 555-563.
Elsevier DOI 0501
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de Vleeschouwer, C., Nilsson, T., Denolf, K., Bormans, J.,
Algorithmic and architectural co-design of a motion-estimation engine for low-power video devices,
CirSysVideo(12), No. 12, December 2002, pp. 1093-1105.
IEEE Top Reference. 0301
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de Vleeschouwer, C., Nilsson, T.,
Motion Estimation for Low Power Video Devices,
ICIP01(II: 953-956).
IEEE DOI 0108
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Ren, Y.[Ying], Chua, C.S.[Chin-Seng], Ho, Y.K.[Yeong-Khing],
Motion detection with nonstationary background,
MVA(13), No. 5-6, 2003, pp. 332-343.
WWW Link. 0304
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Earlier: CIAP01(78-83).
WWW Link. 0210
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Hongler, M.O.[Max-Olivier], de Meneses, Y.L.[Yuri L.], Beyeler, A.[Antoine], Jacot, J.[Jacques],
The resonant retina: Exploiting vibration noise to optimally detect edges in an image,
PAMI(25), No. 9, September 2003, pp. 1051-1062.
IEEE Abstract. 0309
Edge Detection. Use the vibration induced jitter in the image. See also Dynamic Retina: Contrast and Motion Detection for Active Vision, The. BibRef

Bevilacqua, A.[Alessandro],
Optimizing parameters of a motion detection system by means of a distributed genetic algorithm,
IVC(23), No. 9, 1 September 2005, pp. 815-829.
Elsevier DOI 0508
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Collobert, M.[Michael],
Method for determining movement of objects in a video image sequence,
US_Patent6,754,372, Jun 22, 2004
WWW Link. BibRef 0406

Aoki, T.[Takahiro], Nakayama, O.[Osafumi], Shiohara, M.[Morito], Murakami, Y.[Yoshishige],
Method and apparatus for detecting moving object,
US_Patent6,931,146, Aug 16, 2005
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Tsotsos, J.K.[John K.], Liu, Y.J.[Yue-Ju], Martinez-Trujillo, J.C.[Julio C.], Pomplun, M.[Marc], Simine, E.[Evgueni], Zhou, K.H.[Kun-Hao],
Attending to visual motion,
CVIU(100), No. 1-2, October-November 2005, pp. 3-40.
Elsevier DOI 0510
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Tsotsos, J.K., Pomplun, M., Martinez-Trujillo, J.C., Zhou, K.H.[Kun-Hao],
Attending to visual motion: localizing and classifying affine motion patterns,
CRV04(452-462).
IEEE DOI 0408
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Tsotsos, J.K.[John K.], Pomplun, M.[Marc], Liu, Y.J.[Yue-Ju], Martinez-Trujillo, J.C.[Julio C.], Simine, E.[Evgueni],
Attending to Motion: Localizing and Classifying Motion Patterns in Image Sequences,
BMCV02(439 ff.).
Springer DOI 0303
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Cardoso, J.S.[Jaime S.], Corte-Real, L.[Luis],
Accumulator size minimization for a fast cumulant-based motion estimator,
CirSysVideo(15), No. 12, December 2005, pp. 1660-1664.
IEEE DOI 0601
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Cardoso, J.S.[Jaime S.], Cardoso, J.C.S.[Jorge C. S.], Corte-Real, L.[Luis],
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Motion07(7-7).
IEEE DOI 0702
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Veit, T.[Thomas], Cao, F.[Frédéric], Bouthemy, P.[Patrick],
An a contrario Decision Framework for Region-Based Motion Detection,
IJCV(68), No. 2, June 2006, pp. 163-178.
Springer DOI 0606
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Earlier:
An a contrario decision framework for motion detection,
INRIARR-5313, 2004.
HTML Version.
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Earlier:
A Maximality Principle Applied to a Contrario Motion Detection,
ICIP05(I: 1061-1064).
IEEE DOI 0512
BibRef
Earlier:
Probabilistic parameter-free motion detection,
CVPR04(I: 715-721).
IEEE DOI 0408
Perceptual grouping based motion detection. BibRef

Fablet, R., Bouthemy, P.,
Motion Recognition Using Spatio-temporal Random Walks in Sequence of 2D Motion-related Measurements,
ICIP01(III: 652-655).
IEEE DOI 0108
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Burghouts, G.J., Geusebroek, J.M.,
Quasi-Periodic Spatiotemporal Filtering,
IP(15), No. 6, June 2006, pp. 1572-1582.
IEEE DOI 0606
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Ambellouis, S., Cabestaing, F., Postaire, J.G.,
Velocity Selective Filters Recursively Implemented in the Spatiotemporal Domain,
IP(15), No. 6, June 2006, pp. 1601-1609.
IEEE DOI 0606
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Earlier:
Velocity selective spatio-temporal filters for motion analysis in image sequence,
ICIP98(I: 231-235).
IEEE DOI 9810
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Bachalany, Y.[Yara], Cabestaing, F.[Francois], Vieren, C.[Christophe], Ambellouis, S.[Sebastien],
An Altered Image Alignment Technique for 3D Motion Estimation of a Reflective Sphere,
IPTA08(1-8).
IEEE DOI 0811
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Laird, E.T.[Edward T.],
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US_Patent7,154,531, Dec 26, 2006
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Ahn, J.H.[Jung-Hong],
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Chetverikov, D.[Dmitry], Axt, A.[Attila],
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Rao, S.R.[Shankar R.], Yang, A.Y.[Allen Y.], Sastry, S.S.[S. Shankar], Ma, Y.[Yi],
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IJCV(88), No. 3, July 2010, pp. xx-yy.
Springer DOI 1003
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Earlier: A2, A1, A4, Only:
Robust Statistical Estimation and Segmentation of Multiple Subspaces,
RANSAC06(99).
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Verdant, A.[Arnaud], Villard, P.[Patrick], Dupret, A.[Antoine], Mathias, H.[Hervé],
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Verdant, A.[Arnaud], Dupret, A.[Antoine], Mathias, H.[Herve], Villard, P.[Patrick], Lacassagne, L.[Lionel],
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Zaki, W.M.D.W.[Wan Mimi Diyana Wan], Hussain, A.[Aini], Hedayati, M.[Mohamed],
Moving object detection using keypoints reference model,
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Martínez-Martín, E.[Ester], del Pobil, Á.P.[Ángel P.],
Robust Motion Detection in Real-Life Scenarios,
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Akram, M.[Muhammad], Izquierdo, E.[Ebroul],
Fast motion estimation for surveillance video compression,
SIViP(7), No. 6, November 2013, pp. 1103-1112.
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Earlier:
Fast multiframe motion estimation for surveillance videos,
ICIP10(753-756).
IEEE DOI 1009
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Mota, V.F., Perez, E.A., Maciel, L.M., Vieira, M.B., Gosselin, P.H.,
A tensor motion descriptor based on histograms of gradients and optical flow,
PRL(39), No. 1, 2014, pp. 85-91.
Elsevier DOI 1402
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Caetano, F.A.[Felipe Andrade], Vieira, M.B.[Marcelo Bernardes], de Souza da Silva, R.L.[Rodrigo Luis],
A Video Descriptor Using Orientation Tensors and Shape-Based Trajectory Clustering,
IJIG(16), No. 04, 2016, pp. 1650017.
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Huang, S.C.[Shih-Chia], Do, B.H.[Ben-Hsiang],
Radial Basis Function Based Neural Network for Motion Detection in Dynamic Scenes,
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IEEE DOI 1402
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Khare, M.[Manish], Srivastava, R.K.[Rajneesh Kumar], Khare, A.[Ashish],
Single change detection-based moving object segmentation by using Daubechies complex wavelet transform,
IET-IPR(8), No. 6, June 2014, pp. 334-344.
DOI Link 1407
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Khare, M.[Manish], Srivastava, R.K.[Rajneesh Kumar], Khare, A.[Ashish],
Moving shadow detection and removal: A wavelet transform based approach,
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computer vision BibRef

Khare, M.[Manish], Srivastava, R.K.[Rajneesh Kumar], Khare, A.[Ashish],
Moving object segmentation in Daubechies complex wavelet domain,
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Khare, M.[Manish], Srivastava, R.K.[Rajneesh Kumar], Khare, A.[Ashish], Jeon, M.[Moongu],
Curvelet transform based moving object segmentation,
ICIP13(4079-4083)
IEEE DOI 1402
Curvelet transform; Moving object segmentation; Single change detection BibRef

Wang, Z.H.[Zhi-Hu], Liao, K.[Kai], Xiong, J.L.[Jiu-Long], Zhang, Q.[Qi],
Moving Object Detection Based on Temporal Information,
SPLetters(21), No. 11, November 2014, pp. 1403-1407.
IEEE DOI 1408
feature extraction BibRef

Shoemaker, P.A.,
Implementation of Visual Motion Detection in Analog 'Neuromorphic' Circuitry: A Case Study of the Issue of Circuit Precision,
PIEEE(102), No. 10, October 2014, pp. 1557-1570.
IEEE DOI 1410
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Xiao, H.X.[Hua-Xin], Liu, Y.[Yu], Wang, W.[Wei], Zhang, M.J.[Mao-Jun],
Motion Detection Algorithm for Unmanned Aerial Vehicle Nighttime Surveillance,
IEICE(E97-D), No. 12, December 2014, pp. 3248-3251.
WWW Link. 1503
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Han, H., Zhu, J., Liao, S., Lei, Z., Li, S.Z.,
Moving Object Detection Revisited: Speed and Robustness,
CirSysVideo(25), No. 6, June 2015, pp. 910-921.
IEEE DOI 1506
Color BibRef

Lai, Y., Yang, C.,
Video Object Retrieval by Trajectory and Appearance,
CirSysVideo(25), No. 6, June 2015, pp. 1026-1037.
IEEE DOI 1506
Adaptive optics BibRef

Wan, X.[Xue], Liu, J.G.[Jian-Guo], Yan, H.S.[Hong-Shi],
The Illumination Robustness of Phase Correlation for Image Alignment,
GeoRS(53), No. 10, October 2015, pp. 5746-5759.
IEEE DOI 1509
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Earlier:
Phase Correlation based Local Illumination-invariant Method for Multi-Tempro Remote Sensing Image Matching,
PCV14(365-372).
DOI Link 1404
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Yan, H.S.[Hong-Shi], Liu, J.G.[Jian Guo],
Enhanced robust phase correlation based sub-pixel feature matching for target motion estimation,
PCVIA10(B:76).
PDF File. 1009
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Earlier:
Robust Phase Correlation based Motion Estimation and Its Applications,
BMVC08(xx-yy).
PDF File. 0809
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Paramkusam, A.V.[Adapa Venkata], Reddy, V.S.K.,
The efficient optimal and suboptimal motion estimation algorithms,
SIViP(9), No. 6, September 2015, pp. 1265-1270.
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IET-IPR(9), No. 9, 2015, pp. 811-819.
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compressed sensing BibRef

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extrapolation BibRef

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CVIU(146), No. 1, 2016, pp. 27-39.
Elsevier DOI 1604
Moving object detection BibRef

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Dynamic Scene Recognition with Complementary Spatiotemporal Features,
PAMI(38), No. 12, December 2016, pp. 2389-2401.
IEEE DOI 1609
BibRef
Earlier:
Bags of Spacetime Energies for Dynamic Scene Recognition,
CVPR14(2681-2688)
IEEE DOI 1409
BibRef
Earlier:
Spacetime Forests with Complementary Features for Dynamic Scene Recognition,
BMVC13(xx-yy).
DOI Link 1402
Cameras. feature extraction BibRef

Feichtenhofer, C.[Christoph], Pinz, A.[Axel],
Spatio-temporal Good Features to Track,
AutoDrive13(246-253)
IEEE DOI 1403
distance measurement BibRef

Fan, R.[Rui], Zhang, Y.F.[Yong-Fei], Li, B.[Bo], Wang, G.[Gang],
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Feature Interaction Augmented Sparse Learning for Fast Kinect Motion Detection,
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IEEE DOI 1707
computer games, data mining, entertainment, human computer interaction, image classification, image motion analysis, learning (artificial intelligence), Kinect sensing devices, Kinect-based entertainment data sets, Schatten-p norm, classification model, correlation mining, data higher order effect, fast Kinect motion detection, feature interaction augmented sparse learning, fitness, gaming, human-computer interaction entertainment, linear algorithm, Data mining, Entertainment industry, Feature extraction, Motion detection, Real-time systems, Sensors, Skeleton, Feature interaction augmented sparse learning, fast, kinect, motion, detection BibRef


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VCIP16(1-4)
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Cameras BibRef

Gao, R., Tu, Q., Li, C., Zhao, M., Fu, G., Yang, B.,
Graph based spatiotemporal saliency detection incorporating low and high level features,
VCIP15(1-4)
IEEE DOI 1605
Databases BibRef

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BMVC15(xx-yy).
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Lee, T.[Teahyung], Hwangbo, M.[Myung], Alan, T.[Tanfer], Tickoo, O.[Omesh], Iyer, R.[Ravishankar],
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low-complexity HOG; video saliency BibRef

Puscas, M.M.[Mihai Marian], Sangineto, E.[Enver], Culibrk, D.[Dubravko], Sebe, N.[Nicu],
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Rostamzadeh, N.[Negar], Uijlings, J.[Jasper], Mironica, I.[Ionuj], Abadi, M.K.[Mojtaba Khomami], Ionescu, B.[Bogdan], Sebe, N.[Nicu],
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ICIP15(3640-3644)
IEEE DOI 1512
modeling temporal variation in video BibRef

Bellamine, I., Tairi, H.,
Motion detection using color structure-texture image decomposition,
ISCV15(1-8)
IEEE DOI 1506
computer vision BibRef

Liang, P.P.[Peng-Peng], Wu, Y.[Yi], Mei, X.[Xue], Yu, J.Y.[Jing-Yi], Blasch, E.[Erik], Prokhorov, D.[Danil], Liao, C.Y.[Chun-Yuan], Lang, H.T.[Hai-Tao], Ling, H.B.[Hai-Bin],
Blur-Resilient Tracking Using Group Sparsity,
ACCV14(V: 131-145).
Springer DOI 1504
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Aspiras, T.H.[Theus H.], Asari, V.K.[Vijayan K.], Vasquez, J.[Juan],
Gaussian ringlet intensity distribution (GRID) features for rotation-invariant object detection in wide area motion imagery,
ICIP14(2309-2313)
IEEE DOI 1502
Accuracy BibRef

Khan, M.U.K.[Muhammad Umar Karim], Khan, A.[Asim], Kyung, C.M.[Chong-Min],
Dual frame rate motion detection for memory- and energy-constrained surveillance systems,
AVSS14(81-86)
IEEE DOI 1411
Detectors BibRef

Xu, Y.L.[Yi-Liang], Basharat, A.[Arslan], Becker, J.[Jacob], Hoogs, A.[Anthony],
Complex algorithm optimization through probabilistic search of its configuration tree,
AVSS14(216-222)
IEEE DOI 1411
Motion detection BibRef

Rengarajan, V.[Vijay], Punnappurath, A.[Abhijith], Rajagopalan, A.N., Seetharaman, G.[Guna],
Efficient Change Detection for Very Large Motion Blurred Images,
Registration14(315-322)
IEEE DOI 1409
change detection; motion blur; very large images BibRef

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ICIP13(1767-1771)
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Sub-pixel motion estimation; interpolation-free; video coding BibRef

Wang, C.X.[Chen-Xu], Li, S.X.[Shu-Xiao], Shen, Y.P.[Yi-Ping], Song, Y.[Yi], Chang, H.X.[Hong-Xing],
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ICPR14(2596-2601)
IEEE DOI 1412
Accuracy BibRef

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ICIP13(3093-3097)
IEEE DOI 1402
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ACCV12(III:718-733).
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DTCE12(II:491-505).
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ICIP11(2337-2340).
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ICIP11(2349-2352).
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ICIP10(781-784).
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IEEE DOI 0910
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ICIP06(1057-1060).
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IEEE DOI 0606
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Hu, Z.C.[Zhen-Cheng], Uchimura, K.[Keiichi], Wang, J.[Jia],
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ICPR06(I: 79-83).
IEEE DOI 0609
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Wang, J.[Jia], Hu, Z.C.[Zhen-Cheng], Lu, H.Q.[Han-Qing], Uchimura, K.[Keiichi],
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ACCV06(I:307-316).
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Su, C.Y.[Chorng-Yann], Chang, C.T.[Cheng-Tao],
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ISVC05(406-412).
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ICIP05(I: 1093-1096).
IEEE DOI 0512
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Wu, J.W.[Jun-Wen], Trivedi, M.M.,
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ICIP05(I: 1097-1100).
IEEE DOI 0512
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Horn, J.,
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ICIP04(III: 1859-1862).
IEEE DOI 0505
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ICIP04(III: 1855-1858).
IEEE DOI 0505
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Kellner, M., Hanning, T.,
Motion detection based on contour strings,
ICIP04(IV: 2599-2602).
IEEE DOI 0505
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Piumsa-Nga, P., Babaguchi, N.,
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ICIP04(I: 365-368).
IEEE DOI 0505
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ICIP04(I: 299-302).
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Texture Dissimilarity Measures for Background Change Detection,
ICIAR08(xx-yy).
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IEEE DOI 0409
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ICIP03(II: 379-382).
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Springer DOI 0601
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Mizoguchi, M., Sato, J.,
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ICPR02(IV: 56-59).
IEEE DOI 0211
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Hemmendorff, M., Andersson, M.T., Knutsson, H.,
Accurate Registration and Motion Estimation based on Canonical Correlation,
SCIA01(P-W5). 0206
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Ellis, T., Xu, M.,
Object Detection and Tracking in an Open and Dynamic World,
PETS01(xx-yy). 0110
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Xu, M., Ellis, T.,
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BMVC01(Poster Session 1).
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Florencio, D.A.F.,
Motion Sensitive Pre-processing for Video,
ICIP01(II: 399-402).
IEEE DOI 0108
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Latzel, M., Tsotsos, J.,
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ICIP01(I: 381-384).
IEEE DOI 0108
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Aach, T., Duembgen, L., Mester, R., Toth, D.,
Bayesian Illumination-invariant Motion Detection,
ICIP01(III: 640-643).
IEEE DOI 0108
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Peker, K.A., Divakaran, A., Sun, H.F.,
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ICIP01(III: 414-417).
IEEE DOI 0108
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Liang, Y.Q.[Yi-Qing], Huang, J.R.J.[Jeffrey R.J.],
Multiple Motion Detection Using Genetic Algorithms,
DARPA98(1307-1312). BibRef 9800

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CAIP95(286-293).
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ICIP94(I: 568-572).
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Skrzypkowiak, S.S., Jain, V.K.,
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ICIP95(I: 418-421).
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Sethi, I.K., Chung, Y.K.,
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ICPR92(I:696-699).
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CVPR88(696-701).
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Zeevi, Y.Y., Fagni, H.,
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SMC-C80(421-423). BibRef 8000

Ginsburg, A.P.,
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Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Extract Moving Objects from Image Sequences or Video .


Last update:Sep 18, 2017 at 11:34:11