Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Joint Flow: Temporal Flow Fields for Multi Person Tracking   In this work we propose an online multi person pose tracking approach which
works on two consecutive frames $I_{t-1}$ and $I_t$. The general formulation of
our temporal network allows to rely on any multi person pose estimation
approach as spatial network. From the spatial network we extract image features
and pose features for both frames. These features serve as input for our
temporal model that predicts Temporal Flow Fields (TFF). These TFF are vector
fields which indicate the direction in which each body joint is going to move
from frame $I_{t-1}$ to frame $I_t$. This novel representation allows to
formulate a similarity measure of detected joints. These similarities are used
as binary potentials in a bipartite graph optimization problem in order to
perform tracking of multiple poses. We show that these TFF can be learned by a
relative small CNN network whilst achieving state-of-the-art multi person pose
tracking results.

25
The categories of this paper are: patt-sol
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
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The categories of this paper are: alg-geom
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The categories of this paper are: plasm-ph
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The categories of this paper are: adap-org
15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg