Tone-mapping for an HDR surveillance system using SIFT features

Abstract

This paper proposes a tone-mapping method for High Dynamic Range (HDR) surveillance systems, which can improve the accuracy of SIFT object tracking in the systems. HDR surveillance systems can store minute details for the whole radiance range without over- or under-exposure. Although the minute details can be able to increase the accuracy of object detection and tracking, we have some issues of using them to existing SIFT. HDR contents should be tone-mapped before calculating SIFT feature since SIFT is designed for common Low Dynamic Range (LDR) contents. Most of conventional tone-mapping methods lose the minute details through the tone-mapping process, or degrade the accuracy of tracking since they also enhances the noise and invalid features. We propose the tone-mapping method for HDR surveillance system using SIFT features, which can enhance the minute details without invalid features.