Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Region Graph Based Method for Multi-Object Detection and Tracking using
  Depth Cameras   In this paper, we propose a multi-object detection and tracking method using
depth cameras. Depth maps are very noisy and obscure in object detection. We
first propose a region-based method to suppress high magnitude noise which
cannot be filtered using spatial filters. Second, the proposed method detect
Region of Interests by temporal learning which are then tracked using weighted
graph-based approach. We demonstrate the performance of the proposed method on
standard depth camera datasets with and without object occlusions. Experimental
results show that the proposed method is able to suppress high magnitude noise
in depth maps and detect/track the objects (with and without occlusion).

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The categories of this paper are: physics
16
The categories of this paper are: stat
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci
11
The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
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The categories of this paper are: hep-th
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The categories of this paper are: funct-an
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The categories of this paper are: chao-dyn
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The categories of this paper are: mtrl-th
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The categories of this paper are: bayes-an
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The categories of this paper are: nlin
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The categories of this paper are: patt-sol
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The categories of this paper are: q-fin
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The categories of this paper are: solv-int