Optimizing parameters of a motion detection system by means of a distributed genetic algorithm

Image and Vision Computing

Volumn 23, Issue 9, 2005, Pages 815-829

  Bevilacqua, Alessandro ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Distributed genetic algorithm; Motion detection; Parameter optimization; Traffic monitoring; Visual surveillance

Indexed keywords

CALIBRATION; COMPUTER SIMULATION; COMPUTER SOFTWARE; COMPUTER VISION; DISTRIBUTED COMPUTER SYSTEMS; GENETIC ALGORITHMS; OPTIMIZATION; PARAMETER ESTIMATION;

DISTRIBUTED GENETIC ALGORITHMS; MOTION DETECTION; PARAMETER OPTIMIZATION; TRAFFIC MONITORING; VISUAL SURVEILLANCE;

MOTION COMPENSATION;

EID: 23344442925     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2005.04.001     Document Type: Article

References (21)

1. C. Voudouris Guided local search - an illustrative example in function optimisation BT Technology Journal 16 3 1998 46 50
2. R. Swisher, P.D. Hyden, H.J. Sheldon, and L.W. Schruben A survey of simulation optimization techniques and procedures Proceedings of 2000 Winter Simulation Conference, Orlando, FL, USA 2000 119 128
3. A. Bevilacqua, A System for Detecting Motion in Outdoor Environments for a Visual Surveillance Application, PhD thesis, Department of Electronics, Computer Science, Systems, Faculty of Engineering, University of Bologna, Italy, 2002.
4. A. Bevilacqua, and M. Roffilli Robust denoising and moving shadows detection in traffic scenes Proceedings of technical sketches of the IEEE conference on computer vision and pattern recognition, Kauai Marriot, Hawai, USA 2001 1 4
5. A. Bevilacqua, R. Campanini, and N. Lanconelli A distributed genetic algorithm for parameters optimization to detect microcalcifications in digital mammograms Proceedings of Third European Workshop on Evolutionary Computation in Image Analysis and Signal Processing (EVOIASP), Como, Italy, Lecture Notes in Computer Science vol. 2037 2001 278 287
6. A. Bevilacqua, R. Campanini, and N. Lanconelli Optimization of a detection method for microcalcifications in digital mammograms based on a distributed genetic algorithm on a cluster of workstation International Journal of Modern Physics C 12 1 2001 55 70
7. F. Moscheni, and J.-M. Vesin A Genetic Algorithm for Motion estimation Proceedings of 15me Colloque sur le Traitement des Signaux et Images, Juan-les-Pins, France vol. 1 1995 825 828
8. E.Y. Kim, S. Park, K. Jung, and H.J. Kim Genetic algorithm-based segmentation of video sequences Electronics Letters 36 11 2000 946 947
9. E.Y. Kim, S. Hwang, S. Park, and H.J. Kim Spatiotemporal segmentation using genetic algorithms Pattern Recognition 34 10 2001 2063 2066
10. E.Y. Kim, S.H. Park, S.W. Hwang, and H.J. Kim Video sequence segmentation using genetic algorithms Pattern Recognition Letter 23 7 2002 843 863
11. S.W. Hwang, E.Y. Kim, S.H. Park, and H. Kim Object extraction and tracking using genetic algorithms Proceedings of IEEE Signal Processing Society 2001 International Conference on Image Processing (ICIP 2001), Thessaloniki, Greece vol. 2 2001 383 386
12. A. Bevilacqua Optimizing parameters of a motion detection system by means of a genetic algorithm Proceedings of 11th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG 2003), Plzen, Czech Republic 2003 25 32
13. A. Bevilacqua Calibrating a motion detection system by means of a distributed genetic algorithm Proceedings of IEEE International Workshop on Computer Architectures for Machine Perception (CAMP 2003), New Orleans, USA 2003
14. A. Bevilacqua A novel background initialization method in visual surveillance Proceedings of IAPR Workshop on Machine Vision Applications (MVA 2002), Nara, Japan 2002 614 617
15. A. Bevilacqua Effective object segmentation in a traffic monitoring application Proceedings Third IAPR Indian Conference on Computer Vision, Graphics and Image Processing, Ahmedabad, India 2002 125 130
16. A. Bevilacqua Effective shadow detection in traffic monitoring applications Journal of WSCG 11 1 2003 57 64
17. A. Bevilacqua A dynamic load balancing method on a heterogeneous cluster of workstations Informatica 23 1 1999 49 56
18. A. Geist, A. Beguelin, J. Dongarra, W. Jiang, R. Manchek, and V. Sunderam PVM: Parallel Virtual Machine - A Users' Guide and Tutorial for Networked Parallel Computing London Edition 1994 MIT press
19. M.V. Shirvaikar, and M.M. Trivedi A neural network filter to detect small targets in high clutter backgrounds IEEE Transactions on Neural Networks 6 1 1995 252 257
20. M. Zhang, A Domain Independent Approach to 2d Object Detection Based on the Neural and Genetic Paradigms, PhD thesis, Department of Computer Science, Faculty of Applied Science, RMIT University, Melbourne, Victoria, Australia, 2000
21. A. Mohan, C. Papageorgiou, and T. Poggio Example-based object detection in images by components IEEE Transactions on Pattern Analysis and Machine Intelligence 23 4 2001 349 361