Topology Learning of Non-overlapping Multi-camera Network
نویسندگان
چکیده
منابع مشابه
Topology Learning of Non-overlapping Multi-camera Network
We focus on the issue of learning the topology of the non-overlapping multi-camera network, which includes recovering the nodes (entry and exit zones), transition time distribution and links. Firstly, the nodes associated with each camera view are identified using clustering method. Then, transition time distribution is modeled as a Gaussian distribution and is computed by accumulated cross cor...
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In this paper, we propose an unsupervised approach for learning the three factors of the topology of a non-overlapping multicamera network, which are nodes, links, and transition time distributions. It is a cross-correlation based method. Different from previous methods, the proposed method can deal with large amounts of data without considering the size of time window. The connectivity between...
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ژورنال
عنوان ژورنال: International Journal of Signal Processing, Image Processing and Pattern Recognition
سال: 2015
ISSN: 2005-4254,2005-4254
DOI: 10.14257/ijsip.2015.8.11.22