Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Cooperative Estimation of 3D Target Motion via Networked Visual Motion
  Observer   This paper investigates cooperative estimation of 3D target object motion for
visual sensor networks. In particular, we consider the situation where multiple
smart vision cameras see a group of target objects. The objective here is to
meet two requirements simultaneously: averaging for static objects and tracking
to moving target objects. For this purpose, we present a cooperative estimation
mechanism called networked visual motion observer. We then derive an upper
bound of the ultimate error between the actual average and the estimates
produced by the present networked estimation mechanism. Moreover, we also
analyze the tracking performance of the estimates to moving target objects.
Finally the effectiveness of the networked visual motion observer is
demonstrated through simulation.

16
The categories of this paper are: stat
36
The categories of this paper are: cmp-lg
11
The categories of this paper are: hep-lat
20
The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga
17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph