Akula Aparna, Ghosh Ripul, Kumar Satish, Sardana H K
J Opt Soc Am A Opt Image Sci Vis. 2013 Aug 1;30(8):1492-501. doi: 10.1364/JOSAA.30.001492.
An efficient target detection algorithm for detecting moving targets in infrared imagery using spatiotemporal information is presented. The output of the spatial processing serves as input to the temporal stage in a layered manner. The spatial information is obtained using joint space-spatial-frequency distribution and Rényi entropy. Temporal information is incorporated using background subtraction. By utilizing both spatial and temporal information, it is observed that the proposed method can achieve both high detection and a low false-alarm rate. The method is validated with experimentally generated data consisting of a variety of moving targets. Experimental results demonstrate a high value of F-measure for the proposed algorithm.
提出了一种利用时空信息在红外图像中检测移动目标的高效目标检测算法。空间处理的输出以分层方式作为时间阶段的输入。空间信息通过联合空间-空间频率分布和雷尼熵获得。时间信息通过背景减法纳入。通过利用空间和时间信息，可以观察到所提出的方法能够实现高检测率和低误报率。该方法通过由各种移动目标组成的实验生成数据进行了验证。实验结果表明所提出算法的F值很高。
