Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (18): 204-212.DOI: 10.3778/j.issn.1002-8331.2005-0348

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Target Loss Judgment Method Based on Tracking Anomaly and Correlation Test

ZHANG Jie, CHANG Tianqing, GUO Libin, ZHANG Lei, MA Jindun   

  1. Department of Weapon and Control, Army Academy of Armored Forces, Beijing 100072, China
  • Online:2021-09-15 Published:2021-09-13



  1. 陆军装甲兵学院 兵器与控制系,北京 100072


In order to solve the problem that the Staple tracker is imperceptible after the target is lost, a target loss judgment method based on tracking anomaly and correlation test is proposed. By evaluating the response of the color histogram model based on the average peak to correlation energy, an improved tracking confidence evaluation method is proposed. Then, the tracking status is evaluated according to the tracking confidence. In the case of high confidence, the target correlation test template is constructed by using the target area. When the confidence level of the correlation filter response changes from low to high, the similarity is obtained by performing a correlation test between the target correlation test template and the current target area. Target loss is determined by similarity. The experiment is conducted on 22 video sequences of OTB-100 standard dataset. Experimental results show that the tracking anomalies caused by interference factors such as occlusion, out-of-view and illumination variation during the tracking process of Staple algorithm can be detected in time. Target loss can be correctly detected by the proposed algorithm with a success rate of 100%. The proposed algorithm provides a reference for whether to perform target re-detection and target loss in practical engineering applications.

Key words: abnormal tracking status, correlation test, correlation filter, target lost, color histogram



关键词: 异常跟踪状态, 相关性检验, 相关滤波, 目标丢失, 颜色直方图