Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bottom-up approaches for multi-person pose estimation and it's
  applications: A brief review   Human Pose Estimation (HPE) is one of the fundamental problems in computer
vision. It has applications ranging from virtual reality, human behavior
analysis, video surveillance, anomaly detection, self-driving to medical
assistance. The main objective of HPE is to obtain the person's posture from
the given input. Among different paradigms for HPE, one paradigm is called
bottom-up multi-person pose estimation. In the bottom-up approach, initially,
all the key points of the targets are detected, and later in the optimization
stage, the detected key points are associated with the corresponding targets.
This review paper discussed the recent advancements in bottom-up approaches for
the HPE and listed the possible high-quality datasets used to train the models.
Additionally, a discussion of the prominent bottom-up approaches and their
quantitative results on the standard performance matrices are given. Finally,
the limitations of the existing methods are highlighted, and guidelines of the
future research directions are given.

12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
18
The categories of this paper are: econ
37
The categories of this paper are: supr-con
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
17
The categories of this paper are: q-fin
16
The categories of this paper are: stat
15
The categories of this paper are: nucl-ex
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
36
The categories of this paper are: cmp-lg
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg