Feature extraction for moving objects tracking system in indoor environments

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 37, Issue 8, 2004, Pages 96-101

  Castro, Daniel ^a   Nunes, Urbano ^b   Ruano, António ^a  

^a UNIVERSITY OF ALGARVE   (Portugal)

^b UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

Autonomous mobile robots; Detection algorithms

Indexed keywords

CLASSIFICATION (OF INFORMATION); EXTRACTION; HOUGH TRANSFORMS; OBJECT TRACKING; SENSORY PERCEPTION;

CLASSIFICATION SYSTEM; DETECTION AND TRACKING OF MOVING OBJECTS; EXTRACTION PROCEDURE; FEATURE EXTRACTION AND CLASSIFICATION; HIGH-LEVEL FEATURES; INDOOR ENVIRONMENT; LASER MEASUREMENT SYSTEMS; MULTIPLE MOVING OBJECTS;

FEATURE EXTRACTION;

EID: 69549094288     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Alexander R. (2001). Modelling, step by step. +Plus, 13. (http://plus.maths.org/).
2. Arras K. and R.Siegwart (1997). Feature-Extraction and Scene Interpretation for Map-Based Navigation and Map-Building. In Proc. of SPIE, Mobile Robotics XII, Vol. 3210.
3. Bar-Shalom Y. and X.-R. Li (1995). Multitarget-Multisensor Tracking: Principles and Techniques. YBS, Danvers, MA.
4. Castro D., U. Nunes and A. Ruano (2002a). Obstacle Avoidance in Local Navigation. In IEEE Mediterranean Conference on Control and Automation MED 2002, Lisbon.
5. Castro D., U. Nunes and A. Ruano (2002b). Reactive Local Navigation. In IEEE Int. Conference on Electronic and Industrial IECON 2002, pp.2427-2432, Sevilla.
6. Dietmayer K., J. Sparbert and D. Streller (2001). Model Based Object Classification and Tracking in Traffic Scenes from Range Images. In IEEE Intelligent Vehicle Symposium IV2001,, paper 2-1, May, Tokyo.
7. Duda R.O. and P.E. Hart (1972). Use of the Hough Transformation to Detect Lines and Curves in Pictures. Communications of the Association of Computing Machinery, 15(1), pp.11-15.
8. Fiorini P. and Z. Shiller (1998). Motion Planning in Dynamic Environments using Velocity Obstacles. Int. Journal on Robotics Research, 17(7), pp.711-727.
9. Fod A., A. Howard and M. J. Mataric (2002). A Laser-Based People Tracker. In IEEE Int. Conference on Robotics and Automation ICRA'02, pp.3024-3029, Washington.
10. Fuerstenberg K. and V. Willhoeft (2001). Object Tracking and Classification using Laserscanners - Pedestrian Recognition in urban environment. In IEEE Intelligent Transportation Systems Conference, pp. 453-455, Oakland (CA), USA.
11. Fox D., W. Burgard. and S. Thrun (1997). The Dynamic Window Approach to Collision Avoidance. IEEE Robotics and Automation Magazine, 4(1), pp. 23-33.
12. Gerkey B.P., R.T. Vaughan and A. Howard (2003). The Player/Stage Project. http://playerstage.sf.net.
13. Hough P.V.C. (1962). Method and Means for Recognizing Complex Patterns. US Patent 3.069.654, Dec. 18.
14. Kluge B., C. Köhler and E.Prassler (2001). Fast and Robust Tracking of Multiple Moving Objects with a Laser Range Finder. In IEEE Int. Conference on Robotics and Automation ICRA'01, pp.1683-1688, Seoul.
15. Kohler M.(1997). Using the Kalman Filter to Track Human Interactive Motion - Modelling and Initialization of the Kalman Filter for Translational Motion. Technical Report 629, Informatik VII, University of Dortmund.
16. Latombe J-C. (1991). Robot Motion Planning. Kluwer Academic Publishers, Boston.
17. Mendes A., L. Conde and U. Nunes (2004). Multi-Target Detection and Tracking with a Laserscanner. In IEEE Intelligent Vehicles Symposium IV04, June, Parma.
18. Rosales R. and S. Sclaroff (1999). 3D Trajectory Recovery for Tracking Multiple Objects and Trajectory Guided Recognition of Actions. In IEEE Int. Conference on Computer Vision and pattern Recognition, pp. 123, June.
19. Shiller Z., F. Large and S. Sekhavat (2001). Motion Planning in Dynamic Environments: Obstacle Moving Along Arbitrary Trajectories. In IEEE Int. Conference on Robotics and Automation ICRA'01, pp.3716-3721, Seul.
20. Schulz D., W. Burgard, D.Fox and A.Cremers (2001). Tracking Multiple Moving Targets with a Mobile Robot using Particle Filters and Statistical Data Association. In IEEE Int. Conference on Robotics and Automation ICRA'01, pp.1665-1670, Seul.
21. Wang C-C and C. Thorpe (2002). Simultaneous Localization and Mapping with Detection and Tracking of Moving Objects. In IEEE Int. Conference on Robotics and Automation ICRA'02, pp.2918-2924, Washington.