JACIII Vol.16 No.4 pp. 533-539
doi: 10.20965/jaciii.2012.p0533


PSO-Particle Filter-Based Biometric Measurement for Human Tracking

Zhenyuan Xu and Junzo Watada

Graduate School of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0135, Japan

December 30, 2011
April 15, 2012
June 20, 2012
height surveying, human tracking, accuracy, particle filter

Today, security and surveillance systems are required not only to track the motions of humans but also, in some situations, to recognize and measure biometric features such as width and length. Few methods have been proposed for biometric height measurement in human tracking. Some studies have shown that an infrared ray technique can survey the height of a human, but the equipment required is complicated. The objective of this paper is to build a mathematical model to measure the biometrics of human tracking. This tracking method can show humans’ and objects’ size in a picture so that, if we put this picture in a frame of axes, we can calculate the height and other biometric lengths. To obtain the most accurate results for biometric length surveillance, we need a tracking method that is more exact than conventional tracking results. Combining tracking and detection methods using a particle swarm optimization-particle filter shows results with great accuracy in human tracking.

Cite this article as:
Zhenyuan Xu and Junzo Watada, “PSO-Particle Filter-Based Biometric Measurement for Human Tracking,” J. Adv. Comput. Intell. Intell. Inform., Vol.16, No.4, pp. 533-539, 2012.
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