The field of surveillance and forensics research is currently shifting focus and is now
showing an ever increasing interest in the task of people reidentification. This is the task of …

Identifying the same individual across different scenes is an important yet difficult task in
intelligent video surveillance. Its main difficulty lies in how to preserve similarity of the same …

The visual appearance of a person is easily affected by many factors like pose variations,
viewpoint changes and camera parameter differences. This makes person Re-Identification …

Person re-identification is an important task in video surveillance systems. It can be formally
defined as establishing the correspondence between images of a person taken from …

Computer Vision (CV) based surveillance in crowded scenes is one of the most significant
and promising topics due to the increase of people gatherings in public places where the …

In this paper, we propose a novel approach of learning mid-level filters from automatically
discovered patch clusters for person re-identification. It is well motivated by our study on …

Person re-identification is a fundamental task in automated video surveillance and has been
an area of intense research in the past few years. Given an image/video of a person taken …

Retrieving specific persons with various types of queries, eg, a set of attributes or a portrait
photo has great application potential in large-scale intelligent surveillance systems. In this …

In this paper, we aim to improve the dataset foundation for pedestrian attribute recognition in
real surveillance scenarios. Recognition of human attributes, such as gender, and clothes …

Abstract Pedestrian Attribute Recognition (PAR) is an important task in computer vision
community and plays an important role in practical video surveillance. The goal of this paper …