SURVEILLANCE OF OUTDOOR MOVING TARGETS - Matching Targets using Five Features

Nalin Pradeep S., Mayur D. Jain

2006

Abstract

The proposed video surveillance method comprises segmentation of moving targets and tracking the detected objects through five features of the target object. We introduce motion object segmentation based on mean and variance background learning model, and subtraction using both color and edge information. The cognitive fusion of color and edge information helps identifying foreground object. The combination of the five features spatial positions, LBW, Compactness, Orientation and color histogram through particle filter approach tracks the segmented objects. These five features help in matching the target tracks during occlusions, merging of targets, stop and go motion in vary challenging environmental (rainy and snowy) conditions shown in the results. Our proposed method provides solution to common problems related to matching of target tracks. We provide encouraging experimental results calculated on synthetic and real world sequences to demonstrate the algorithm performance.

References

  1. M.Isard and A.Blake., volume29, n01,pp 5-28, 1998. Condensation -conditional density propagation for visual tracking, International Journal of Computer Vision.
  2. A.Utsumi and J.Ohya., pp 911-916, 1998. Image Segmentation for human tracking using sequentialimage-based hierarchical adaptation, Proceedings of IEEE computer Society Conf. on CVPR.
  3. Tao Zhao and Ram Nevatia., pp 9-14, 2002. Stochastic human Segmentation from a Static Camera, Motion and Video Computing Proceedings.
  4. Esther B. koller-Meier, Frank Ade., pp 93-105,2001. Tracking Multiple Objects Using condensation Algorithm, Journal of robotics and Autonomous systems.
  5. Q. Zhou and J. Aggarwal., Dec 9, 2001. Tracking and Classifying Moving Objects from Video, in Proc. 2nd IEEE Int'l Workshop on Performance Evaluation of Tracking in Surveillance.
  6. I.Haritaoglu, D.Harwood and L.S Davis., vol. 22, pp 809- 830,2000. W/sup 4/:real time surveillance of people and their activities, IEEE Trans. PAMI press.
  7. Konstantinova Pavlina, Alexander Udvarev, Tzvetan Semerdjiev., pp. III7-1 - III7-3, 19-20 June2003. A Study Of A Target Tracking Algorithm Using Global Nearest Neighbour Approach, International Conference on Computer Systems and Technologies - CompSysTech'2003 , Sofia, Bulgaria,
  8. I. Cohen, G. Medioni., June 1999. Detecting and Tracking Moving Objects in Video Surveillance,Proc. of the IEEE CVPR 99, Fort Collins.
  9. O. Javed, K. Shafique, and M. Shah., Dec. 2002. A Hierarchical Approach to Robust Background Subtraction using Color and Gradient Information, IEEE Workshop on Motion and Video Computing, Orlando, FL.
  10. S. Jabri, Z. Duric, H. Wechsler, and A. Rosenfeld., 2000. Detection and Location of People using Adaptive Fusion of Color and Edge Information, In Proceedings of International Conference on Pattern Recognition.
  11. Gonzalez and Woods., 2002. Digital Image Processing, 2nd edition ,Prentice Hall.
  12. Senior A., pp 48-55,2002. Tracking People with Probabilistic Appearance Models, PETS.
  13. Carnegie Mellon University, visited on 06/22/2005 http://www.cs.cmu.edu/vsam/OldVsamWeb/research .html.
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Paper Citation


in Harvard Style

Pradeep S. N. and D. Jain M. (2006). SURVEILLANCE OF OUTDOOR MOVING TARGETS - Matching Targets using Five Features . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 395-401. DOI: 10.5220/0001367003950401


in Bibtex Style

@conference{visapp06,
author={Nalin Pradeep S. and Mayur D. Jain},
title={SURVEILLANCE OF OUTDOOR MOVING TARGETS - Matching Targets using Five Features},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={395-401},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001367003950401},
isbn={972-8865-40-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - SURVEILLANCE OF OUTDOOR MOVING TARGETS - Matching Targets using Five Features
SN - 972-8865-40-6
AU - Pradeep S. N.
AU - D. Jain M.
PY - 2006
SP - 395
EP - 401
DO - 10.5220/0001367003950401