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Multi-object tracking using knowledge-based autonomous adaptation at the tracking modeling level

机译:在跟踪建模级别使用基于知识的自主适应进行多对象跟踪

摘要

The invention proposes a method for object and object configuration tracking based on sensory input data, the method comprising the steps of: (1.1) Basic recruiting: Detecting interesting parts in sensory input data which are not yet covered by already tracked objects and incrementally initializing basic tracking models for these parts to continuously estimate their states, (1.2) Tracking model complexity adjustment: Testing, during runtime more complex and more simple prediction and/or measurement models on the tracked objects, and (1.3) Basic release: Releasing trackers from parts of the sensory data where the tracker prediction and measurement processes do not get sufficient sensory support for some time.
机译:本发明提出了一种基于感觉输入数据的对象和对象配置跟踪的方法,该方法包括以下步骤:(1.1)基本募集:在感官输入数据中检测尚未被已跟踪对象覆盖的有趣部分,并逐步初始化这些部分的基本跟踪模型,以不断估算其状态,(1.2)跟踪模型复杂度调整:在运行时测试被跟踪对象上更复杂,更简单的预测和/或测量模型,以及(1.3)基本发布:从一段时间内在跟踪器预测和测量过程中未获得足够的感觉支持的部分感觉数据中释放跟踪器。

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