Real-Time Human Detection, Tracking and Verification

Abstract

In environments where a camera is installed on a freely moving platform, e.g. a vehicle or a robot, object detection and tracking becomes much more difficult. In this project, we developed a real time system for human detection, tracking, and verification in such challenging environments. To deliver a robust performance, the system integrates several computer vision algorithms to perform its function: a human detection algorithm, an object tracking algorithm, and a motion analysis algorithm.

To utilize the available computing resources to the maximum possible extent, each of the system components is designed to work in a separate thread that communicates with the other threads through shared data structures. The focus of this paper is more on the implementation issues than on the algorithmic issues of the system. Object oriented design was adopted to abstract algorithmic details away from the system structure.

Publications

Mohamed Hussein, Wael Abd-Almageed, Yang Ran and Larry Davis, “A Real-Time System for Human Detection, Tracking and Verification in Uncontrolled Camera Motion Environment,” IEEE International Conference on Computer Vision Systems, NY, USA, Jan. 2006.

Downloads

Human Silhouette Dataset

Last updated on Sat Oct 17^th 2006