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Journal of Real-Time Image Processing

, Volume 1, Issue 1, pp 33–40 | Cite as

Achieving real-time object detection and tracking under extreme conditions

  • Fatih PorikliEmail author
Survey Paper

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.

Keywords

Object Detection Background Model Tracking Method Erratic Motion Graphic Processor Unit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 2006

Authors and Affiliations

  1. 1.Merl Technology LabCambridgeUSA

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