TR2006-039

Achieving Real-Time Object Detection and Tracking Under Extreme Conditions

    •  Porikli, F., "Achieving Real-Time Object Detection and Tracking Under Extreme Conditions", Journal of Real-time Image Processing, Vol. 1, pp. 33-40, October 2006.
      BibTeX TR2006-039 PDF
      • @article{Porikli2006oct2,
      • author = {Porikli, F.},
      • title = {Achieving Real-Time Object Detection and Tracking Under Extreme Conditions},
      • journal = {Journal of Real-time Image Processing},
      • year = 2006,
      • volume = 1,
      • pages = {33--40},
      • month = oct,
      • issn = {1861 8200},
      • url = {https://www.merl.com/publications/TR2006-039}
      • }
  • Research Areas:

    Artificial Intelligence, Computer Vision, Machine Learning

Abstract:

In this survey, we present a brief analysis of single camera object detection and tracking methods. We also give a comparison of their computational complexities. These methods are designed to accurately perform under difficult conditions such as erratic motion, drastic illumination change, and noise contamination.

 

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