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A particle filter [10] is used to track multiple persons in the scene.
In [17] a mixture particle filter and an Ada-boost detector is used to track multiple objects (hockey players) in a video stream.
Therefore, it is not appropriate to simply apply the tracking-by-detection frameworks that have been widely used to track multiple targets, e.g., [5, 6], in this situation.
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The computer code MT3DMS was used to track the multiple tracer-solutes in transient, three-dimensional simulations of the important urban aquifer.
However, some cookies can be used to track the user across multiple web sites (tracking cookies), enabling for example advertisements for a product the user has recently viewed on a totally different site.
A four-quadrant olfactometer (Vet et al., 1983; Semmelhack and Wang, 2009) was used to track the olfactory responses of multiple flies at 30 frames/second (Katsov and Clandinin, 2008).
Some researchers used sequential state estimation techniques to track multiple objects [35].
MIST uses multiple individual IESTFs (component filters) to track multiple probable pose hypotheses.
Current approaches tend to either be able to track multiple mobile sound sources using hardware-heavy solutions or use lightweight techniques to track one mobile sound source.
To track multiple people (together with their multiple body parts) in video, we use the CAVIAR [39] data set sequences.
Colour histograms are created for each detected person and are used to identify and track multiple people standing, walking, sitting, occluding, and entering or leaving the space.
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