Surveillance networks are typically monitored by a few people, viewing several monitors
displaying the camera feeds. It is then very difficult for a human operator to effectively detect …

Though it is the first step of a real video surveillance application, detection has received less
attention than tracking in research on video surveillance. We show, however, that the …

As CCTV/IP cameras and network infrastructure become cheaper and more affordable,
today's video surveillance solutions are more effective than ever before, providing new …

DOTS (Dynamic Object Tracking System) is an indoor, real-time, multi-camera surveillance
system, deployed in a real office setting. DOTS combines video analysis and user interface …

Visual detection and tracking are interdisciplinary tasks which are oriented at estimating the
state of one or multiple moving objects in a video sequence. This is one of the first tasks in …

Surveillance systems such as object tracking and abandoned object detection systems
typically rely on a single modality of colour video for their input. These systems work well in …

This work presents an automated and integrated framework that robustly tracks multiple
targets for video-based event detection applications. Integrating the advantages of adaptive …

Object tracking in video sequences is a challenging task and has various applications. We
review particle filtering techniques for tracking single and multiple moving objects in video …

A novel statistical approch for detection and tracking of objects is presented here, which
uses both edge and color information in a particle filter. The approach does not need any …

This paper presents a novel approach to improve the accuracy of tracking multiple objects in
a static scene using a particle filter system by introducing a data association step, a state …