15 Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following

15.1 Active Vision Systems

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Active Vision.

15.1.1 Active Vision - General

Chapter Contents (Back)
Active Vision. Active Vision, Overview.

Blake, A., Yuille, A.L.,
Active Vision,
MIT Press1992. ISBN: 978-0-262-02351-1. Reference as: BibRef 9200 Active
WWW Link. Geometrical modeling, optical flow, control theory, recursive statistical filtering, and dynamical modeling. BibRef

Swain, M.J., Stricker, M.A.,
Promising Directions in Active Vision,
IJCV(11), No. 2, October 1993, pp. 109-126.
Springer DOI Survey, Active Vision. Introductory paper in special issue on apctive vision. review/survey. BibRef 9310

Fu, D.D.[Daniel D.], Hammond, K.J.[Kristian J.], Swain, M.J.[Michael J.],
Action and Perception in Man-Made Environments,
IJCAI95(464-472). BibRef 9500

Fu, D.D.[Daniel D.], Hammond, K.J.[Kristian J.], Swain, M.J.[Michael J.],
Perception and Action in Man-Made Environments,
Context95(xx) BibRef 9500

Bajcsy, R.K.,
Active Perception,
PIEEE(76), No. 8, August 1988, pp. 996-1005. BibRef 8808
Earlier:
Active Perception vs. Passive Perception,
CVWS85(55-62). Coins the term active vision. BibRef

Bajcsy, R.,
An Active Observer,
DARPA92(137-147). BibRef 9200

Bajcsy, R.,
Perception with Feedback,
DARPA88(279-288). BibRef 8800

Aloimonos, Y., Ed.,
Active Perception,
Academic Press1993. Indexed as BibRef 9300 ActPercep93 BibRef BookVolume I of the series. BibRef

Aloimonos, Y.[Yiannis],
Active Vision Revisited,
ActPercep93Introduction. BibRef 9300

Aloimonos, Y., Ed.,
Visual Navigation,
Academic Press1993. Indexed as: BibRef 9300 VisNav93 BibRef BookVolume II of the series. BibRef

Aloimonos, Y.[Yiannis],
Visual Navigation: Flies, Bees, and UGV's,
VisNav93(xx-yy). BibRef 9300

Aloimonos, Y., Weiss, I., and Bandyopadhyay, A.,
Active Vision,
IJCV(1), No. 4, January 1988, 333-356. BibRef 8801
Earlier: ICCV87(35-54). Award, Marr Prize, HM. BibRef
And: DARPA87(552-573). Without correspondence, actually with only ONE thing to see so correspondence in the usual sense is given, and with a moving camera many of the standard single image tasks are easier (shape from shading, contour, texture, motion, and area based optical flow. Some of the simplification seems to come from the fact that there are more images to analyze. BibRef

Aloimonos, Y.[Yiannis],
Purposive, Qualitative, Active Vision,
CVGIP(56), No. 1, July 1992, pp. 1-2.
Elsevier DOI BibRef 9207
And:
Purposive and Qualitative Active Vision,
DARPA90(816-828). BibRef
And: ICPR90(I: 346-360).
IEEE DOI Survey, Active Vision. Active Vision, Survey. The Journal article is only an introduction to the special issue. Long survey paper. BibRef

Aloimonos, Y.,
Qualitative Vision,
IJCV(14), No. 2, March 1995, pp. 115-117.
Springer DOI Introduction to the special issue. BibRef 9503

Herve, J.Y., and Aloimonos, Y.,
Exploratory Active Vision,
DARPA93(581-591). BibRef 9300
Earlier:
Exploratory Active Vision: Theory,
CVPR92(10-15).
IEEE DOI BibRef

Sharma, R., and Aloimonos, Y.,
Visual Motion Analysis under Interceptive Behavior,
CVPR92(148-153).
IEEE DOI Purposive vision. Results? BibRef 9200

Mowforth, P.H.[Peter H.],
Special Issue Introduction: Towards an active perception,
IVC(10), No. 7, September 1992, pp. 466.
Elsevier DOI 0401
BibRef

Rivlin, E., Rosenfeld, A.,
Navigational Functionalities,
CVIU(62), No. 2, September 1995, pp. 232-244.
DOI Link BibRef 9509
And: UMDTR3343, 1994.
WWW Link. The use of objects as obstacles, intercepts, or landmarks. BibRef

Rivlin, E., Aloimonos, Y., Rosenfeld, A.,
Object Recognition by a Robotic Agent: The Purposive Approach,
ICPR92(I:712-715).
IEEE DOI BibRef 9200

Rosenfeld, A.[Azriel],
Vision-Based Navigation and Recognition Final Report,
UMDJuly 1996.
WWW Link. BibRef 9607

Ballard, D.H.[Dana H.],
Animate Vision,
AI(48), No. 1, February 1991, pp. 57-86.
Elsevier DOI Survey, Active Vision. Active Vision, Survey. BibRef 9102

Ballard, D.H.[Dana H.], Brown, C.M.[Christopher M.],
Principles of Animate Vision,
CVGIP(56), No. 1, July 1992, pp. 3-21.
Elsevier DOI BibRef 9207
And: ActPercep93 Survey, Active Vision. Active Vision, Survey. BibRef

Ballard, D.H.[Dana H.],
Behavioral Constraints on Animate Vision,
IVC(7), No. 1, February 1989, pp. 3-9.
Elsevier DOI BibRef 8902

Rao, R.P.N.[Rajesh P.N.], Ballard, D.H.[Dana H.],
An Active Vision Architecture Based on Iconic Representations,
AI(78), No. 1-2, October 1995, pp. 461-505.
Elsevier DOI
PS File. BibRef 9510

Ballard, D.H.,
Reference Frames for Animate Vision,
IJCAI89(1635-1641). Award, IJCAI. Active vision, its purposes and uses. BibRef 8900

Rimey, R.D., and Brown, C.M.,
Sequences, Structure, and Active Vision,
CVPR91(706-709).
IEEE DOI BibRef 9100
And: Univ. of RochesterCS TR-366, January 1991. BibRef

Brown, C.M.[Christopher M.],
Issues In Selective Perception,
ICPR92(I:21-30).
IEEE DOI BibRef 9200

Sood, A.K., Trivedi, M.M., Herman, M., and Weschler, H.,
Computational Perspective on Perception, Planning, Action and Systems Integration,
SMC(20), No. 6, November/December 1990, pp. 1241-1244. Overview of robotics and perception for a special issue. BibRef 9011

Roth, Y.[Yuval], and Jain, R.C.[Ramesh C.],
Knowledge Caching for Sensor-Based Systems,
AI(71), No. 2, December 1994, pp. 257-280.
Elsevier DOI BibRef 9412

Roth, Y., Jain, R.C.,
Simulation and Expectation in Sensor-Based Systems,
PRAI(7), No. 1, February 1993, 1993, pp. 145-173. BibRef 9302

Kosecka, J., Christensen, H.I., Bajcsy, R.,
Discrete-Event Modeling of Visually Guided Behaviors,
IJCV(14), No. 2, March 1995, pp. 179-191.
Springer DOI BibRef 9503

Kosecka, J., Bajcsy, R.,
Cooperation of visually guided behaviors,
ICCV93(502-506).
IEEE DOI 0403
BibRef

Tsotsos, J.K.[John K.],
On the Relative Complexity of Active vs. Passive Visual Search,
IJCV(7), No. 2, January 1992, pp. 127-141.
Springer DOI BibRef 9201
Earlier:
Active vs. Passive Visual Search: Which Is More Efficient?,
RBCV-TR-90-34, Toronto, September 1990. Discusses where active perception helps and where it does not help. BibRef

Fiala, J.C., Lumia, R., Roberts, K.J., Wavering, A.J.,
Triclops: A Tool for Studying Active Vision,
IJCV(12), No. 2-3, April 1994, pp. 231-250.
Springer DOI Active Vision, Tools. BibRef 9404

Christensen, H.I., Bowyer, K.W., and Bunke, H., Editors,
Active Robot Vision,
World ScientificPress, Singapore, 1993. Indexed as BibRef 9300 Active Robot Vision(This is really the same as the journal.) BibRef

Christensen, H.I., Bowyer, K.W., Bunke, H., (Eds.)
Special Issue on Active Robot Vision: Camera Heads, Model Based Navigation And Reactive Control,
PRAI(7), No. 1, February 1993, pp. 1-192. BibRef 9302

Pahlavan, K.[Kourosh], Uhlin, T.[Tomas], and Eklundh, J.O.[Jan-Olof],
Active Vision as Methodology,
ActPercep93 BibRef 9300 ISRN KTH/NA/P-94/05-SE, February 1994. BibRef

Pahlavan, K.[Kourosh], Uhlin, T.[Tomas], Eklundh, J.O.[Jan-Olof],
Integrating Primary Ocular Processes,
IVC(10), No. 10, December 1992, pp. 654-662.
Elsevier DOI BibRef 9212
And: ISRN KTH/NA/P-92/09-SE. BibRef
Earlier: ECCV92(526-541).
Springer DOI BibRef

Pahlavan, K.,
Active Robot Vision and Primary Ocular Processes,
Ph.D.Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, May 1993. BibRef 9305 ISRN KTH/NA/P-93/16-SE. BibRef

Pahlavan, K., and Eklundh, J.O.,
Mechatronics of Active Vision,
ISRN KTH/NA/P-94/26-SE, August 1994. BibRef 9408
And: Mechatronics(4), 1994, pp. 113-123. BibRef ElsevierScience Ltd, London. BibRef

Sharkey, P.M., Murray, D.W., vande Velde, S., Reid, I.D., McLauchlan, P.F.,
A Modular Head/Eye Platform for Real-Time Reactive Vision,
Mechatronics(3), No. 4, 1993, pp. 517-535.
See also Saccade and Pursuit on an Active Head Eye Platform. BibRef 9300

Mayhew, J.E.W., Zheng, Y., Billings, S.A.,
Layered Architecture for the Control of Micro Saccadic Tracking of a Stereo Camera Head,
BMVC92(xx-yy).
PDF File. 9209
BibRef

Landy, M.S., Maloney, L.T., and Pavel, M.,
Exploratory Vision: The Active Eye,
New York: Springer-VerlagOctober 1995, ISBN 0-387-94563-6. Referenced as: BibRef 9510 EVAE BibRef BookDiscussion of active vision issues from both biological and computer point of view. BibRef

Fermüller, C.[Cornelia], Aloimonos, Y.[Yiannis],
Vision and Action,
IVC(13), No. 10, December 1995, pp. 725-744.
Elsevier DOI BibRef 9512
And: UMDTR3305, 1994.
WWW Link.
See also Qualitative Egomotion. BibRef

Piahanez, C.S.,
Behavior-Based Active Vision,
PRAI(8), 1994, pp. 1493-1526. BibRef 9400

Mann, S.,
Wearable Computing: A First Step Toward Personal Imaging,
Computer(30), No. 2, February 1997, pp. 25-31. 9702
BibRef

Gotchev, G.V., Minkova, N.,
Description and Representation of 3-D Scenes in Computer Vision Systems,
PRL(7), 1988, pp. 329-335. BibRef 8800

Terzopoulos, D.[Demetri], Rabie, T.F.[Tamer F.],
Animat Vision: Active Vision in Artificial Animals,
Videre(1), No. 1, 1997, pp. 2-19. BibRef 9700
Earlier: ICCV95(801-808).
IEEE DOI Abstract:
HTML Version. Full paper:
PDF File. Demo:
HTML Version. BibRef

Rabie, T.F.[Tamer Farouk], Terzopoulos, D.[Demetri],
Motion, stereo and color analysis for dynamic virtual environments,
ISRR00(230-237). BibRef 0001
Earlier:
Stereo and Color Analysis for Dynamic Obstacle Avoidance,
CVPR98(245-252).
IEEE DOI BibRef

Rabie, T.F.[Tamer F.], and Terzopoulos, D.[Demetri],
Motion and Color Analysis for Animat Perception,
AAAI-96(1090-1097). University of Toronto BibRef 9600

Sharkey, P.M., Murray, D.W., McLauchlan, P.F., Brooker, J.P.,
Hardware Development of the Yorick Series of Active Vision Systems,
MicroMicro(21), No. 6, March 1998, pp. 363-375.
HTML Version. 9805
BibRef

Huber, E., Kortenkamp, D.,
A Behavior Based Approach to Active Stereo Vision for Mobile Robots,
EngAAI(11), No. 2, April 1998, pp. 229-243. 9807
BibRef

Crowley, J.L.,
Historical development of use of dynamical models for the representation of knowledge about real world processes in machine vision: Response,
SP(35), No. 3, 1994, pp. 307-308.
See also Historical development of use of dynamical models for the representation of knowledge about real world processes in machine vision. BibRef 9400

Paulus, D., Ahlrichs, U., Heigl, B., Denzler, J., Hornegger, J., Zobel, M., Niemann, H.,
Active Knowledge-Based Scene Analysis,
Videre(1), No. 4, Winter 2000, pp. xx-yy. 0005
BibRef
Earlier: Without A6: CVS99(180 ff.).
Springer DOI 0209
BibRef

Niemann, H., Ahlrichs, U., Paulus, D.,
Learning an Analysis Strategy for Knowledge-Based Exploration of Scenes,
CogVis03(165-180).
Springer DOI 0310
BibRef

Ahlrichs, U., Paulus, D., Niemann, H.,
Integrating Aspects of Active Vision Into a Knowledge-based System,
ICPR00(Vol IV: 579-582).
IEEE DOI
PS File. 0009
BibRef

Deinzer, F., Denzler, J., and Niemann, H.,
On Fusion of Multiple Views for Active Object Recognition,
DAGM01(239-245). BibRef 0100

Paulus, D., Drexler, C., Reinhold, M., Zobel, M., and Denzler, J.,
Active Computer Vision System,
CAMP00(18-27).
PS File. BibRef 0001

Breazeal, C., Edsinger, A., Fitzpatrick, P., Scassellati, B.[Brian],
Active vision for sociable robots,
SMC-A(31), No. 5, Septmeber 2001, pp. 443-453.
IEEE Top Reference. Integrated visual-motor system on a humanoid robot. 0111
BibRef

Breazeal, C., and Scassellati, B.,
A context-dependent attention system for a social robot,
IJCAI99(1146-1153). BibRef 9900

Breazeal, C.,
Social interactions in HRI: the robot view,
SMC-C(34), No. 2, May 2004, pp. 181-186.
IEEE DOI 0407
BibRef

Zhou, Q.A.[Qi-Ang], Parrott, D.[David], Gillen, M.[Matthew], Chelberg, D.M.[David M.], Welch, L.[Lonnie],
Agent-based computer vision in a dynamic, real-time environment,
PR(37), No. 4, April 2004, pp. 691-705.
Elsevier DOI 0403
Agent based methodology for real-time systems. BibRef

Martin, M.C.[Martin C.],
Evolving visual sonar: Depth from monocular images,
PRL(27), No. 11, August 2006, pp. 1174-1180.
Elsevier DOI Genetic programming; Robotics; Visual navigation; Monocular vision 0606
BibRef

Martin, M.C.,
The Simulated Evolution of Robot Perception,
CMU-RI-TR-01-32, December, 2001. BibRef 0112 Ph.D.Thesis.
PDF File. 0205
BibRef

Xu, K.L.[Kang-Lin], Luger, G.F.[George F.],
The model for optimal design of robot vision systems based on kinematic error correction,
IVC(25), No. 7, 1 July 2007, pp. 1185-1193.
Elsevier DOI 0705
Active vision system; Differential transformation; Pose estimation; Design for manufacturing (DFM) Analysis of the vision system on a robot. BibRef

Alkkiomäki, O.[Olli], Kyrki, V.[Ville], Kälviäinen, H.[Heikki], Liu, Y.[Yong], Handroos, H.[Heikki],
Challenges of Vision for Real-Time Sensor Based Control,
CRV08(42-49).
IEEE DOI 0805
BibRef

de Croon, G.C.H.E., Sprinkhuizen-Kuyper, I.G., Postma, E.O.,
Comparing active vision models,
IVC(27), No. 4, 3 March 2009, pp. 374-384.
Elsevier DOI 0804
Active vision; Probabilistic approach; Behavioural approach BibRef

Granlund, G.H.[Gosta H.],
Special issue on Perception, Action and Learning,
IVC(27), No. 11, 2 October 2009, pp. 1639-1640,.
Elsevier DOI 0909
BibRef

Gallos, D., Ferrie, F.,
Active Vision in the Era of Convolutional Neural Networks,
CRV19(81-88)
IEEE DOI 1908
Object recognition, Uncertainty, Reinforcement learning, Deep learning, Cameras, Lighting, Data acquisition, active vision, uncertainty BibRef