Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate
  Multi-Camera Multiple Object Tracking   Multi-Camera Multiple Object Tracking (MC-MOT) is a significant computer
vision problem due to its emerging applicability in several real-world
applications. Despite a large number of existing works, solving the data
association problem in any MC-MOT pipeline is arguably one of the most
challenging tasks. Developing a robust MC-MOT system, however, is still highly
challenging due to many practical issues such as inconsistent lighting
conditions, varying object movement patterns, or the trajectory occlusions of
the objects between the cameras. To address these problems, this work,
therefore, proposes a new Dynamic Graph Model with Link Prediction (DyGLIP)
approach to solve the data association task. Compared to existing methods, our
new model offers several advantages, including better feature representations
and the ability to recover from lost tracks during camera transitions.
Moreover, our model works gracefully regardless of the overlapping ratios
between the cameras. Experimental results show that we outperform existing
MC-MOT algorithms by a large margin on several practical datasets. Notably, our
model works favorably on online settings but can be extended to an incremental
approach for large-scale datasets.

31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
24
The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an
37
The categories of this paper are: supr-con
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
21
The categories of this paper are: adap-org
19
The categories of this paper are: eess
16
The categories of this paper are: stat
2
The categories of this paper are: math