This paper proposes an approach to the vehicle re-identification problem in a multiple
camera system. We focused on the re-identification itself assuming that the vehicle detection …

We present and evaluate a person re-identification scheme for multi-camera surveillance
system. Our approach uses matching of signatures based on interest-points descriptors …

Person re-identification, a branch of image retrieval, is an increasingly important public
safety application. When monitoring larger areas, it is crucial to correctly match the same …

In this paper, we tackle the problem of object detection and tracking in a new and
challenging domain of wide area surveillance. This problem poses several challenges: large …

Vehicle instance retrieval (IR) often requires one to recognize the fine-grained visual
differences between vehicles. Besides the holistic appearance of vehicles which is easily …

Visual object tracking is an active topic in the computer vision domain with applications
extending over numerous fields. The main sub‐tasks required to build an object tracker (eg …

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 …

In this paper, we address the problem of multiple person re-identification in the absence of
calibration data or prior knowledge about the geospatial location of cameras. Multiple …

Over the past twenty years, the computer vision community has made great strides in the
automatic solution to such problems as camera localization and visual tracking. Many …

Tracking and re-identification in wide-area camera networks is a challenging problem due to
non-overlapping visual fields, varying imaging conditions, and appearance changes. We …