Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Anomaly detection in video with Bayesian nonparametrics   A novel dynamic Bayesian nonparametric topic model for anomaly detection in
video is proposed in this paper. Batch and online Gibbs samplers are developed
for inference. The paper introduces a new abnormality measure for decision
making. The proposed method is evaluated on both synthetic and real data. The
comparison with a non-dynamic model shows the superiority of the proposed
dynamic one in terms of the classification performance for anomaly detection.

20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph
10
The categories of this paper are: q-bio
29
The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex
13
The categories of this paper are: quant-ph
34
The categories of this paper are: chem-ph
1
The categories of this paper are: cs
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int
3
The categories of this paper are: physics
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex