Online Viterbi Optimisation for Simple Event Detection in Video

Online Viterbi Optimisation for Simple Event Detection in Video
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用于视频中简单事件检测的在线维特比优化

DOI:
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发表时间:
2007
期刊:
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影响因子:
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通讯作者:
R. Berthilsson
R. Berthilsson
中科院分区:
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文献类型:
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作者:
H. Ardö;Kalle Åström;R. Berthilsson

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在本文中,事件检测的图像序列中涉及的情况下,存在多个对象的问题进行了研究。提出了一种描述不同数量的物体运动及其进入和退出的隐马尔可夫模型。以前已经使用了类似的模型,但在在线系统中,标准的动态规划维特比算法通常不用于找到全局最优状态序列,因为它要求所有过去和未来的观测都是可用的。在本文中,我们使用的扩展维特比算法,允许它操作无限的时间序列,并产生最佳状态序列,只有一个有限的延迟。这使得有可能在真实的时间应用中使用维特比算法。在模型中对对象可能进入或退出场景的位置进行了限制,这使得对一些简单事件的检测变得微不足道。我们还表明,扩展观察模型使用几个重叠或不重叠的相机是直截了当的。
In this paper the problem of event detection in image sequences involving situations with multiple objects present is studied. A Hidden Markov Model describing the movements of a varying number of objects as well as their entries and exits is presented. Previously similar models have been used, but in online systems the standard dynamic programming Viterbi algorithm is typically not used to find the global optimum state sequence, as it requires that all past and future observations are available. In this paper we use an extension to the Viterbi algorithm that allows it to operate on infinite time sequences and produce the optimum state sequence with only a finite delay. This makes it possible to use the Viterbi algorithm in real time applications. Restrictions on where objects might enter or exit the scene is placed in the model, which makes the detection of some simple events trivial. We also show that extending the observation model to use use several overlapping or nonoverlapping cameras is straight forward.
DOI: 10.1109/tits.2004.833791
发表时间: 2004-09
影响因子: 8.5
作者:
Jien Kato;Toyohide Watanabe;S. Joga;Y. Liu;H. Hase
通讯作者: Jien Kato;Toyohide Watanabe;S. Joga;Y. Liu;H. Hase