Within this survey an attempt is made to document the present status of video surveillance
systems. The main components of a surveillance system are presented and studied …

Person re-identification is a challenging research issue in computer vision and has a broad
application prospect in intelligent security. In recent years, with the emergence of large-scale …

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 …

Person re-identification (PRe-id) aims to retrieve a target person's images captured across
multiple/single non-overlap** cameras. To this end, significant techniques have been …

Person re-identification is an important problem for associating behavior of people
monitored in surveillance camera networks. The fundamental challenges of person re …

In video-surveillance, person re-identification is the task of recognising whether an
individual has already been observed over a network of cameras. Typically, this is achieved …

Person re-identification (Re-ID) is an application of video surveillance and has become
popular among Computer Vision and Image processing research communities since last …

This chapter presents a review and systematic comparison of the state of the art on crowd
video analysis. The rationale of our review is justified by a recent increase in intelligent …

In this paper we propose an adaptive part-based spatio-temporal model that characterizes
person's appearance using color and facial features. Face image selection based on low …

Appearance-based human re-identification is challenging due to different camera
characteristics, varying lighting conditions, pose variations across camera views, etc. Recent …