In this paper we present a method for real-time detection and tracking of people in video captured by a depth camera. For each object to be assessed, an ordered sequence of values that represents the distances between its center of mass to the boundary points is calculated. The recognition is based on the analysis of the total distance value between the above sequence and some pre-defined human...

In this master thesis, the problem of tracking groups using an image sequence dataset is examined. Target tracking can be defined as the problem of estimating a target’s state given prior knowledge about its motion and some sensor measurements related to the target’s state. A popular method for target tracking is e.g. the Kalman filter. However, the Kalman filter is insufficient when there are ...

Tracking people from a moving platform is a useful skill for the coming generation of service and human-interaction robots. It is also a challenging problem, involving sensing, interpretation, planning, and control, all in a real time and dynamic environment. Techniques used in existing people-trackers that operate from fixed locations, noting changes against a fixed background, are not applica...

Tracking humans is a diicult problem because of the non-rigid nature of the human body, and the frequent occlusion encountered among people. We present a framework to track multiple people in a xed camera situation. Our framework deals implicitly with occlusion, and is able to correctly label people during occlusion. We rst segment a person into classes of similar color using the Expectation Ma...

People tracking is an important prerequisite for socially compliant service robots that operate in human environments. In this paper, we take this challenge to new extremes by attempting to robustly track people in a 360-degree field around the robot in very crowded environments like a busy airport terminal. As a first contribution, we present a novel multimodal people tracking framework that i...

The growth of computational capabilities together with the emergence of vision techniques have opened new opportunities for the development of new approaches for video-surveillance systems (people detection, tracking and recognition...). The current work addresses the issue of visual real-time people tracking within a multi-camera network. We studied three different techniques for visual signat...

While intelligent environments are often cited as a reason for doing work on visual person-tracking, really making an intelligent environment exposes many realworld problems in visual tracking that must be solved to make the technology practical. In the context of our EasyLiving project in intelligent environments, we created a practical person-tracking system that solves most of the real-world...

In tracking face and facial actions of unknown people, it is essential to take into account two components of facial shape variations: shape variation between people and variation caused by different facial actions such as facial expressions. This paper presents a monocular method of tracking faces and facial actions using a multilinear face model that treats interpersonal and intrapersonal sha...

Risky multitasking, such as texting while driving, may occur because people misestimate the costs of divided attention. In two experiments, participants performed a computerized visual-manual tracking task in which they attempted to keep a mouse cursor within a small target that moved erratically around a circular track. They then separately performed an auditory n-back task. After practicing b...

Moving object detection and tracking is often the first step in applications such as video surveillance. The main aim of project moving object detection and tracking system with a static camera has been developed to estimate velocity, distance parameters we propose a general moving object detection and tracking based on vision system using image difference algorithm. This paper focuses on detec...