论文标题
评论“以不规则形状的扩展和组对象跟踪的时空高斯流程模型”
Comments on "Spatio-Temporal Gaussian Process Models for Extended and Group Object Tracking with Irregular Shapes"
论文作者
论文摘要
在研究“时空高斯流程过程模型，用于扩展和组对象跟踪不规则形状”（IEEETrans。Teh。。Tech。，第68卷，第3卷，第3期，第2137-2151页，2019年3月，2019年3月），扩展对象跟踪问题通过基于Spatio-temporal Gaussian Crocesses（STGP）的方法解决了扩展的对象跟踪问题。通过模拟和真实数据以及另一种最先进的方法（称为GP-EKF）在“使用高斯流程的扩展目标跟踪”（IEEE EEEETrans。Trans。63，第63卷，第16页，第4165-41178页，2015年8月）中提出的另一种最先进的方法（称为GP-EKF）进行了相对评估。不幸的是，我们认识到STGP论文中提出的实验的实施存在重大错误，这导致了不正确的性能评估结果。在此通信中，我们的目标是分享这些实验的正确结果，并回应有关GP-EKF的一些主张，我们认为这将有助于更好地理解这些方法。
In the study "Spatio-temporal Gaussian process models for extended and group object tracking with irregular shapes" (IEEE Trans. Veh. Tech., vol. 68, no. 3, pp. 2137-2151, Mar. 2019), the extended object tracking problem was tackled by an approach based on spatio-temporal Gaussian processes (STGP). The performance of the proposed STGP-based trackers was comparatively evaluated through simulations and real data together with another state-of-the-art method (referred to as GP-EKF) proposed in "Extended target tracking using Gaussian processes" (IEEE Trans. Signal Process., vol. 63, no. 16, pp. 4165-4178, Aug. 2015). Unfortunately, we recognized that there are major errors in the implementation of the experiments presented in the STGP paper, which led to incorrect performance evaluation results. In this correspondence, our aim is to share the correct results of these experiments and to respond to some claims regarding GP-EKF, which we believe, would contribute to a better understanding of the methods.
