Computer Vision Systems, International Conference on (2006)
New York, New York
Jan. 4, 2006 to Jan. 7, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICVS.2006.52
Mohamed Hussein , University of Maryland
Wael Abd-Almageed , University of Maryland
Yang Ran , University of Maryland
Larry Davis , University of Maryland
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 paper, we presents 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.
L. Davis, Y. Ran, M. Hussein and W. Abd-Almageed, "Real-Time Human Detection, Tracking, and Verification in Uncontrolled Camera Motion Environments," Computer Vision Systems, International Conference on(ICVS), New York, New York, 2006, pp. 41.