Intelligent multi-camera video surveillance is a multidisciplinary field related to computer
vision, pattern recognition, signal processing, communication, embedded computing and …

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 …

Abstract We propose Quadruplet Convolutional Neural Networks (Quad-CNN) for multi-
object tracking, which learn to associate object detections across frames using quadruplet …

Abstract Systems and techniques are provided for tracking puts and takes of inventory items
by subjects in an area of real space. A plurality of cameras with overlapping fields of view …

Multi-object tracking can be achieved by detecting objects in individual frames and then
linking detections across frames. Such an approach can be made very robust to the …

Many recent advances in multiple target tracking aim at finding a (nearly) optimal set of
trajectories within a temporal window. To handle the large space of possible trajectory …

Given two to four synchronized video streams taken at eye level and from different angles,
we show that we can effectively combine a generative model with dynamic programming to …

We propose to formulate multi-target tracking as minimization of a continuous energy
function. Other than a number of recent approaches we focus on designing an energy …

As surveillance becomes ubiquitous, the amount of data to be processed grows along with
the demand for manpower to interpret the data. A key goal of surveillance is to detect …

The nascent applicability of multi-camera tracking (MCT) in numerous real-world
applications makes it a significant computer vision problem. While visual tracking of objects …