A novel approach to robust and flexible person tracking using an algorithm that integrates
state of the arts techniques; an Enhanced Person Detector (EPD) and Kalman filtering …

Both detection and tracking people are challenging problems, especially in complex real
world scenes that commonly involve multi-person, complicated occlusions, and cluttered …

Human tracking is a comprehensive framework for tracking coarse human model performed
from sequences of synchronized monocular grayscale images in single or multiple camera …

This paper presents some 'work in progress' towards a multi-camera person tracking
solution. The tracking system aims to combine observations obtained from one or more …

Automatically detecting and tracking multiple persons in videos is one of the main research
interest in computer vision based applications. This paper presents a tracking-by-detection …

In this paper, we propose a real-time multi-person tracking system operating in fixed
surveillance camera environment. We adopt particle filtering as our object tracking …

Visual surveillance in crowded scenes, especially for humans, has recently been one of the
most active research topics in machine vision because of its applications such as deter and …

This paper presents a detection-based method for tracking an uncertain number of persons
in complex scenarios with frequent occlusions. Frame-by-frame data association based …

The algorithm presented is a very efficient and robust object tracking algorithm based on
particle filter. The aim is to deal with noisy and bad resolution video surveillance cameras …

We present a mobile vision system for multi-person tracking in busy environments.
Specifically, the system integrates continuous visual odometry computation with tracking-by …