An intelligent video system for vehicle localization and tracking in police cars

ABSTRACT

This work aims at real-time in-car video analysis to detect several critical events in order to alarm and assist police action. Particularly, detecting a tracked or stopped vehicle is a crucial task for further examination of suspects, protecting police safety, and remote monitoring from police station. This paper describes a comprehensive approach to localize targeted vehicles in the video under various environments and illumination conditions. The extracted geometry features on the moving objects and background are dynamically projected onto a 1D profile and are constantly tracked. We rely on temporal information of features for vehicle identification, which compensates for the complexity of vehicle shapes, colors and types. We investigated videos of day and night, and different types of roads, proving that our employed approach is robust and effective.

REFERENCES

• 1: Baker, W. G. et al. IACP report to National Institute of Justice entitled, The Impact of Video Evidence on Modern Policing (NIJ grant #2001-CK-WX-0157), 2004.
• 2: Alonso, D.; Salgado, L.; Nieto, M.; Robust Vehicle Detection through Multidimensional Classification for on Board Video Based Systems, In IEEE International Conference on Image Processing (ICIP). Volume 4, 321--324, Sept. 16--19 2007.
• 3: Demonceaus C., Potelle A., and Kachi-Akkouche D., Obstacle detection in a road scene based on motion analysis, IEEE Trans. On Vehicular Technology, 53(6), 72--77, 2004.
• 4: Kate, T. K. ten; Leewen, M. B. van; Moro-Ellenberger, S. E.; Driessen, B. J. F.; Versluis, A. H. G.; Groen, F. C. A.; Mid-range and distant vehicle detection with a mobile camera, In IEEE Intelligent Vehicles Symposium, 72--77, June 2004.
• 5: C. Harris and M. Stephens, A combined corner and edge detector. In Proceedings of the 4th Alvey Vision Conference, 147--151, 1988.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.4 IMAGE PROCESSING AND COMPUTER VISION
      I.4.8 Scene Analysis
          Subjects: Tracking

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.10 Vision and Scene Understanding
  I.4 IMAGE PROCESSING AND COMPUTER VISION
      I.4.8 Scene Analysis
          Subjects: Time-varying imagery
      I.4.9 Applications

General Terms:
Algorithms, Experimentation, Performance

Keywords:
1D projection, in-car video, intelligent video system, spatial-temporal image, tracking, vehicle detection