Feature-Level based Video Fusion for Object Detection
Fusion of three-dimensional data from multiple sensors gained momentum, especially in applications pertaining to surveillance, when promising results were obtained in moving object detection. Several approaches to video fusion of visual and infrared data have been proposed in recent literature. They mainly comprise of pixel based methodologies. Surveillance is a major application of video fusion and night-time object detection is one of most important issues in automatic video surveillance. In this paper we analyze the suitability of a feature-level based video fusion technique that overcomes the drawback of pixel-based fusion techniques for object detection.
Keywords: video fusion, feature-level-fusion
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