光子学报, 2017, 46 (8): 0810001, 网络出版: 2017-10-30  

时空方向能量特征用于红外弱表观目标跟踪

Infrared Weak-Feature Target Tracking Using the Spatial-Temporal Orientation Energy Feature
作者单位
1 长春理工大学 光电工程学院, 长春 130022
2 沈阳理工大学 装备工程学院, 沈阳 110168
摘要
在红外弱表观目标跟踪中,由于目标表观信息贫乏且受场景强噪声干扰,现有算法难以有效提取目标特征,实现对目标的准确跟踪.针对这一问题,本文提出一种基于时空方向能量的红外弱表观目标跟踪方法.该方法提取目标时空方向能量作为特征,建立方向能量直方图描述目标特征.在粒子滤波方法框架下,将粒子方向能量直方图与目标模板的相似度作为粒子滤波预测与更新阶段的观测输入.由于时空方向能量来源于目标的运动特征,因此本文方法具有较强的抗辐射突变性.实验结果证明,该方法能够稳定地跟踪弱表观目标,与传统基于灰度特征的跟踪方法相比,可靠性增强,且具有良好的适应性.
Abstract
For the task of weak-feature target tracking in infrared image sequences, existing methods failed to track the target accurately for lack of information in the target′s surface and the interferences from the strong noise in the scene. Focusing on this problem, a particle filter method is proposed by the Spatial-Temporal Orientation Energy (SOE). The method describes the target by using the SOE histogram. The similarity of the SOE histograms between the particles and the target is employed as the observation input to the particle filter. It is noted that the method is high robustness to target illuminated radiation as the SOE feature reflects target dynamics. Experimental results show that the proposed method has good stability to track targets in different scenes and is more effective and adaptive than the traditional grey-scale feature.

张乐, 安志勇, 郝永平, 岱钦. 时空方向能量特征用于红外弱表观目标跟踪[J]. 光子学报, 2017, 46(8): 0810001. ZHANG Le, AN Zhi-yong, HAO Yong-ping, DAI Qin. Infrared Weak-Feature Target Tracking Using the Spatial-Temporal Orientation Energy Feature[J]. ACTA PHOTONICA SINICA, 2017, 46(8): 0810001.

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