16 Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities

Feature point based approaches. The other chapter has the optical flow, gradient based approaches.

16.1 General Feature Based Motion

Chapter Contents (Back)
Motion, Feature Based. Feature Based Motion.

Fan, T.I., and Fu, K.S.,
A Syntactic Approach to Time-Varying Image Analysis,
CGIP(11), No. 2, October 1979, pp. 138-149.
Elsevier DOI BibRef 7910

Fan, T.I., and Fu, K.S.,
Tree Translation and Its Application to a Time-Varying Image Analysis Problem,
SMC(12), 1982, pp. 856-867. BibRef 8200

Tsotsos, J.K., Mylopoulos, J.P., Covvey, H.D., and Zucker, S.W.,
A Framework for Visual Motion Understanding,
PAMI(2), No. 6, November 1980, pp. 563-573. BibRef 8011
ALVEN: A Study on Motion Understanding by Computer,
IJCAI79(890-892). AI approach to understanding the motion. BibRef

Aggarwal, J.K., (ed.),
Special Issue on Time Varying Imagery: I,
CVGIP(21), No. 1, January 1983. all. BibRef 8301

Aggarwal, J.K., (ed.),
Special Issue on Time Varying Imagery: II,
CVGIP(21), No. 2, February 1983. all. BibRef 8302

Huang, T.S.[Thomas S.], and Tsai, R.Y.,
Image Sequence Analysis, Introduction,
ISA81(1-18). Introduction to the book of the same name. BibRef 8100

Nagel, H.H.,
Image Sequence Analysis: What Can We Learn from Applications?,
ISA81(Ch 2) BibRef 8100

Nagel, H.H.,
Overview on Image Sequence Analysis,
ISPDSA83(2-39). BibRef 8300

Nagel, H.H.,
Analyzing Sequences of TV Frames,
IJCAI77(626). BibRef 7700

Dubois, E., Prasada, B., and Sabri, M.S.,
Image Sequence Coding,
ISA81(Ch 3). BibRef 8100

Huang, T.S., and Hsu, Y.P.,
Image Sequence Enhancement,
ISA81(Ch 4). BibRef 8100

Radig, B.M.,
Image Region Extraction of Moving Objects,
ISA81(Ch 5). BibRef 8100
Inferential Region Extraction in TV-Sequences,
IJCAI81(719-721). BibRef
Description of Moving Objects Based on Parameterized Region Extraction,
ICPR78(723-725). BibRef

Spiesberger, W., and Tasto, M.,
Processing of Medical Image Sequences,
ISA81(Ch 7). BibRef 8100

Potel, M.J.[Michael J.], Sayre, R.E.[Richard E.], MacKay, S.A.[Steven A.],
Graphics Input Tools for Interactive Motion Analysis,
CGIP(14), No. 1, September 1980, pp. 1-23.
Elsevier DOI BibRef 8009

Collet, C., Quinquis, A.,
Motion Estimation Methods and Noisy Phenomena,
MVA(7), No. 4, 1994, pp. 247-258. BibRef 9400

Huang, T.S., and Netravali, A.N.,
Motion and Structure from Feature Correspondences: A Review,
PIEEE(82), No. 2, February 1994, pp. 252-268. BibRef 9402
And: AIPU02(331-348). Survey, Motion. Motion, Survey. Perspective assumptions. BibRef

Nagel, H.H.,
On the Derivation of 3-D Rigid Point Configurations from Image Sequences,
PRIP81(103-108). Analyze different ways to formulate the motion equations. Vector equations for moving objects. Compute the translation, rotation and shape. BibRef 8100

Nagel, H.H.,
Image Sequence Evaluation: 30 Years and Still Going Strong,
ICPR00(Vol I: 149-158).
Survey, Motion. Survey of motion research BibRef

Nagel, H.H.,
Analysis Techniques for Image Sequences,
ICPR78(186-211). Survey, Motion. Motion, Survey. Good bibliography of the earlier papers. An expanded version appears later?? BibRef 7800

Martin, W.N., and Aggarwal, J.K.,
Dynamic Scene Analysis: A Survey,
CGIP(7), No. 3, June 1978, pp. 356-374.
Elsevier DOI (December 76, April 77, and June 78). Survey, Motion. BibRef 7806
Dynamic Scene Analysis,
ISPDSA83(40-73). Seems to be an almost null intersection with other surveys. BibRef

Cedras, C., Shah, M.,
Motion-Based Recognition: A Survey,
IVC(13), No. 2, March 1995, pp. 129-155.
Elsevier DOI Survey, Motion. Survey, Moving Light Display. BibRef 9503
A Survey of Motion Analysis from Moving Light Displays,

Aggarwal, J.K., and Nandhakumar, N.,
On the Computation of Motion from Sequences of Images: A Review,
PIEEE(76), 1988, pp. 917-935.
IEEE DOI BibRef 8800
Earlier: Univ. of TexasTR-88-2-47, April 1988. Survey, Motion. Motion, Survey. BibRef

Aggarwal, J.K.,
Motion and Time-Varying Imagery: An Overview,
Motion86(1-6). BibRef 8600
Motion and Time-Varying Imagery,
Motion83(20-21). Invited talk in 1986. General review of current techniques of point (long-range) methods. BibRef

Aggarwal, J.K., and Mitiche, A.,
Structure and Motion from Images Fact and Fiction,
CVWS85(127-128). Do not use derivatives for computing information from images. BibRef 8500

Nagel, H.H.,
Image Sequences: Ten (Octal) Years - From Phenomenology Towards a Theoretical Foundation,
PRAI(2), 1988, pp. 459-483. BibRef 8800
Earlier: ICPR86(1174-1185). BibRef

Thompson, W.B., and Kearney, J.K.[Joseph K.],
Inexact Vision,
Motion86(15-21). Invited talk. The benefits of non-quantitative vision because current approaches are numerically unstable, depend on derivatives and fail at discontinuities (where other operations are easier and more reliable). BibRef 8600

Price, K.E.,
Multi-Frame Feature-Based Motion Analysis,
ICPR90(I: 114-118).
IEEE DOI BibRef 9000 USC Computer VisionGeneral overview of these techniques. BibRef

Meiri, A.Z.,
On Monocular Perception of 3-D Moving Objects,
PAMI(2), No. 6, November 1980, pp. 582-583. A short paper on effective coordinate systems and formulae for the number of unknowns and number of equations. BibRef 8011

Watson, A.B., and Ahumada, A.J.,
Model of Human Visual-Motion Sensing,
JOSA-A(2), No. 2, 1985, pp. 322-342. Human Perception. BibRef 8500

Cumani, A., Guiducci, A., Grattoni, P.,
Image Description of Dynamic Scenes,
PR(24), No. 7, 1991, pp. 661-673.
Elsevier DOI
See also Edge-Based Description of Color Images, An. BibRef 9100

Jurie, F., Gallice, J.,
A Recognition Network Model-Based Approach to Dynamic Image Understanding,
AMAI(13), No. 3-4, 1995, pp. 317-345. BibRef 9500

Shi, Y.Q.,
Special Issue: Image Sequence Processing: I,
IJIST(9), No. 4, 1998, pp. 189-191. 9808

Fitzgibbon, A.W.[Andrew W.], Pollefeys, M.[Marc], Van Gool, L.J.[Luc J.], Zisserman, A.[Andrew],
Editorial: IJCV Special Issue: Vision and Modelling of Dynamic Scenes,
IJCV(68), No. 1, June 2006, pp. 5-6.
Springer DOI 0605
Special issue introduction. BibRef

Liu, Q.S.[Qing-Shan], Li, X.L.[Xue-Long], Elgammal, A.M.[Ahmed M.], Hua, X.S.[Xian-Sheng], Xu, D.[Dong], Tao, D.C.[Da-Cheng],
Introduction to computer vision and image understanding the special issue on video analysis,
CVIU(113), No. 3, March 2009, pp. 317-318.
Elsevier DOI 0902

Fu, Y.R.[Yun Raymond], Yan, S.C.[Shui-Cheng], Huang, T.S.[Thomas S.],
Special issue on feature-oriented image and video computing for extracting contexts and semantics,
CVIU(115), No. 3, March 2011, pp. 289.
Elsevier DOI 1103

Mei, X.[Xue], Zhang, T.Z.[Tian-Zhu], Lu, H.C.[Hu-Chuan], Yang, M.H.[Ming-Hsuan], Lee, K.M.[Kyoung Mu], Bischof, H.[Horst],
Special Issue on Visual Tracking,
CVIU(153), No. 1, 2016, pp. 1-2.
Elsevier DOI 1612

Tao, L.[Li], Wang, X.T.[Xue-Ting], Yamasaki, T.[Toshihiko],
Rethinking Motion Representation: Residual Frames With 3D ConvNets,
IP(30), 2021, pp. 9231-9244.
Motion Representation Using Residual Frames with 3D CNN,
Feature extraction, Videos, Optical imaging, Proposals, Kernel, Task analysis, Residual frame, video understanding. Feature extraction, Videos, Proposals, Training, Convolution, 3D CNN BibRef

Tian, Y.[Yuan], Che, Z.H.[Zhao-Hui], Bao, W.B.[Wen-Bo], Zhai, G.T.[Guang-Tao], Gao, Z.Y.[Zhi-Yong],
Self-supervised Motion Representation via Scattering Local Motion Cues,
Springer DOI 2011
Representation issues. BibRef

Åström, K.,
Invited Paper: Multiple View Vision,
ICPR00(Vol I: 59-66).
Survey, Motion. Survey, 3D. More on motion than multiple view stereo, but good references to different computational techniques. BibRef

Chellappa, R.[Rama], Qian, G., Srinivasan, S.,
Structure from motion: sparse versus dense correspondence methods,
IEEE DOI Light at the End of Tunnel! BibRef 9900

Torr, P.H.S., Beardsley, P.A., Murray, D.W.,
Robust Vision,
PDF File. 9409
Structure from motion analysis. BibRef

Burt, P.J.[Peter J.],
Image Motion Analysis Made Simple and Fast, One Component at a Time,
PDF File. 9109

Ward, M.O., Chien, Y.T.,
Analysis of Time-Varying Imagery Through the Representation of Position and Shape Changes,
ICPR80(1236-1238). BibRef 8000

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Motion Equation Estimation Methods .

Last update:Jul 13, 2024 at 15:27:21