Mitsubishi Electric Research Laboratories

Achieving Real-Time Object Detection and Tracking Under Extreme Conditons

Citation:   *  Porikli, F., "Achieving Real-Time Object Detection and Tracking Under Extreme Conditions", Journal of Real-time Image Processing, ISSN: 1861 8200, Vol. 1, Number 1, pp. 33-40, October 2006 (Springer Berlin / Heidelberg)
MERL Report:  TR2006-039

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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