Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Person Retrieval in Surveillance Video using Height, Color and Gender   A person is commonly described by attributes like height, build, cloth color,
cloth type, and gender. Such attributes are known as soft biometrics. They
bridge the semantic gap between human description and person retrieval in
surveillance video. The paper proposes a deep learning-based linear filtering
approach for person retrieval using height, cloth color, and gender. The
proposed approach uses Mask R-CNN for pixel-wise person segmentation. It
removes background clutter and provides precise boundary around the person.
Color and gender models are fine-tuned using AlexNet and the algorithm is
tested on SoftBioSearch dataset. It achieves good accuracy for person retrieval
using the semantic query in challenging conditions.

16
The categories of this paper are: stat
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
25
The categories of this paper are: patt-sol
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph
12
The categories of this paper are: nucl-th
9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph