A change-detection method for multiple object localization in real scenes

The aim of this paper is to show a real-time change detection method for multiple object localization from real world image sequences. Limits, quality and time performances of the described pixel-oriented method are outlined comparing it with other existing techniques. Results are presented by applying the the technique described in the architecture of a real-time surveillance system for visual control of an unattended level-crossing. The localization of detected objects is also addressed and tested on real scenes where illumination is not assumed to be constant.<
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