Abstract
This paper presents an approach for the detection of moving point targets on high frame-rate image sequences in situations when the spatial signal of the target is swamped by noise. A high frame-rate based moving point target detection framework is proposed, in which a target detector is used for analyzing the time domain evolution of image sequences for distinguishing between background and target, and a statistic based target detection model is used for target detection. The method is evaluated using both simulated and real-world high frame-rate data and we provide a comparison to other widely used point target detection approaches. Our experimental results demonstrate that the proposed framework can be used for robust moving point target detection in very low SNR.
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