Dual domain auxiliary particle filter with integrated target signature update

C. M. Johnston, N.A. Mould, J. Havlicek, Guoliang Fan
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引用次数: 7

Abstract

For the first time, we formulate an auxiliary particle filter jointly in the pixel domain and modulation domain for tracking infrared targets. This dual domain approach provides an information rich image representation comprising the pixel domain frames acquired directly from an imaging infrared sensor as well as 18 amplitude modulation functions obtained through a multicomponent AM-FM image analysis. The new dual domain auxiliary particle filter successfully tracks all of the difficult targets in the well-known AMCOM closure sequences in terms of both centroid location and target magnification. In addition, we incorporate the template update procedure into the particle filter formulation to extend previously studied dual domain track consistency checking mechanism far beyond the normalized cross correlation (NCC) trackers of the past by explicitly quantifying the differences in target signature evolution between the modulation and pixel domains. Experimental results indicate that the dual domain auxiliary particle filter with integrated target signature update provides a significant performance advantage relative to several recent competing algorithms.
集成目标特征更新的双域辅助粒子滤波
本文首次在像素域和调制域联合设计了用于红外目标跟踪的辅助粒子滤波器。这种双域方法提供了一种信息丰富的图像表示,包括直接从成像红外传感器获取的像素域帧以及通过多分量AM-FM图像分析获得的18个调幅函数。新的双域辅助粒子滤波器在质心定位和目标放大两方面都成功地跟踪了AMCOM闭包序列中的所有难目标。此外,我们将模板更新过程纳入粒子滤波公式,通过明确量化调制域和像素域之间目标特征演化的差异,扩展了先前研究的双域跟踪一致性检查机制,远远超出了过去的归一化互相关(NCC)跟踪器。实验结果表明,结合目标特征更新的双域辅助粒子滤波算法相对于目前的几种算法具有明显的性能优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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