19.3.3 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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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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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
HTML Version. BibRef
Earlier:
Image motion vector detecting apparatus,
US_Patent5,111,511, 05/05/1992.
HTML Version. BibRef

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
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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.,
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SV(9), 1995, pp. 261-273. BibRef 9500

Prokopowicz, P.N., Cooper, P.R.,
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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
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Okamotoc, Y.[Yasukazu],
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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.,
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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],
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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.,
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SPLetters(5), No. 4, April 1998, pp. 81-83.
IEEE Top Reference. 9804
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Krishnan, D., Chong, M.N., Kalra, S.,
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IP(8), No. 8, August 1999, pp. 1139-1142.
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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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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
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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
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Caselles, V., Garrido, L., Igual, L.,
A Contrast Invariant Approach to Motion Estimation,
ScaleSpace05(242-253).
Springer DOI 0505
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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.,
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Cheung, J.F.Y., Wicks, M.C., Genello, G.J., Kurz, L.,
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IP(8), No. 12, December 1999, pp. 1772-1787.
IEEE DOI 9912
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Deng, H., Himed, B., Wicks, M.C.,
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IEEE DOI 0604
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Kawahara, K.[Kenji],
Image motion detection device,
US_Patent5,859,672, Jan 12, 1999
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Ahnn, J.M.[Jeong-Mo],
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US_Patent5,936,672, Aug 10, 1999
WWW Link. BibRef 9908

Cho, Y.H.[Yong-Hun],
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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).
IEEE DOI 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],
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US_Patent6,754,372, Jun 22, 2004
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Aoki, T.[Takahiro], Nakayama, O.[Osafumi], Shiohara, M.[Morito], Murakami, Y.[Yoshishige],
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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],
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CirSysVideo(15), No. 12, December 2005, pp. 1660-1664.
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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.,
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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],
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IPTA08(1-8).
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Earlier: A2, A1, A4, Only:
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Martínez-Martín, E.[Ester], del Pobil, Á.P.[Ángel P.],
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Earlier:
Fast multiframe motion estimation for surveillance videos,
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IEEE DOI 1009
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Mota, V.F., Perez, E.A., Maciel, L.M., Vieira, M.B., Gosselin, P.H.,
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Caetano, F.A.[Felipe Andrade], Vieira, M.B.[Marcelo Bernardes], de Souza da Silva, R.L.[Rodrigo Luis],
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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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Single change detection-based moving object segmentation by using Daubechies complex wavelet transform,
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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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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],
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ICIP13(4079-4083)
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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,
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Xiao, H.X.[Hua-Xin], Liu, Y.[Yu], Wang, W.[Wei], Zhang, M.J.[Mao-Jun],
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See also Real-Time Cascaded Video Denoising Algorithm Using Intensity and Structure Tensor, A. BibRef

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,
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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,
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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).
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Earlier:
Robust Phase Correlation based Motion Estimation and Its Applications,
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PDF File. 0809
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Paramkusam, A.V.[Adapa Venkata], Reddy, V.S.K.,
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IP(28), No. 7, July 2019, pp. 3395-3407.
IEEE DOI 1906
eigenvalues and eigenfunctions, feature extraction, image classification, image motion analysis, image sequences, recognition BibRef

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Spatio-Temporal Predictive Network For Videos With Physical Properties,
Precognition21(2268-2278)
IEEE DOI 2109
Deep learning, Training, Adaptation models, Radar, Predictive models, Radar imaging, Image sequences BibRef

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CVRoads17(190-197)
IEEE DOI 1802
Detectors, Feature extraction, Neural networks, Object detection, Real-time systems, Videos BibRef

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Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition,
CVPR19(7214-7223).
IEEE DOI 2002
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Earlier:
Moving Object Detection in Time-Lapse or Motion Trigger Image Sequences Using Low-Rank and Invariant Sparse Decomposition,
ICCV17(5133-5141)
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decomposition, feature extraction, image motion analysis, image representation, image sequences, matrix decomposition, Sparse matrices BibRef

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IEEE DOI 1609
BibRef
Earlier:
Bags of Spacetime Energies for Dynamic Scene Recognition,
CVPR14(2681-2688)
IEEE DOI 1409
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Earlier:
Spacetime Forests with Complementary Features for Dynamic Scene Recognition,
BMVC13(xx-yy).
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Cameras. feature extraction BibRef

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CVPR17(7435-7444)
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Cameras, Databases, Dynamics, Image recognition, Kernel, Spatiotemporal, phenomena BibRef

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Representing Objects in Video as Space-Time Volumes by Combining Top-Down and Bottom-Up Processes,
WACV20(1903-1911)
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Cameras, Distortion, Kernel, Sensor arrays, Solid modeling, Rolling shutter, aerial imaging, change detection, image registration, motion blur BibRef

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Clustering algorithms, Estimation, Merging, Motion detection, Motion segmentation, Shape, coherent motion detection BibRef

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Motion detection, Feature extraction, Dynamics, Video sequences, Discrete wavelet transforms, Motion detection, dynamic texture, wavelet leader BibRef

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CVPR88(696-701).
IEEE DOI BibRef 8800

Zeevi, Y.Y., Fagni, H.,
Some aspects of motion perception,
SMC-C80(421-423). BibRef 8000

Ginsburg, A.P.,
Visual perception based on biological filtering of spatial information,
SMC-C80(424-428). BibRef 8000

Pinter, R.B.[Robert B.],
On the visual discrimination between small objects and large textured patterns,
SMC-C80(429-433). BibRef 8000

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Detection of Moving Objects from Image Sequences or Video .


Last update:Mar 16, 2024 at 20:36:19