scholarly journals Robust Human Tracking Method Based on Apperance and Geometrical Features in Non-Overlapping Views

2015 ◽  
Author(s):  
Binbin Liang ◽  
Songchen Han ◽  
Yan Zhu ◽  
Liping Di
Keyword(s):  
Human Tracking ◽  
Tracking Method ◽  
Geometrical Features

Human Tracking Methods Comparison for Smart House Method Comparison in Human Tracking for Smart House Purpose

2014 ◽  
Vol 5 (1) ◽  
pp. 8-11 ◽  
Author(s):  
Gustave Lyman
Keyword(s):  
Voice Recognition ◽  
Method Comparison ◽  
Human Tracking ◽  
Methods Comparison ◽  
Tracking Method ◽  
System Environment ◽  
Advantages And Disadvantages ◽  
Index Terms ◽  
Smart House

Smarthouse systems require some information of human locations in the system environment, different smart house system offers different human tracking method. The idea of this paper is to determine which method is better in which condition. This paper discusses amongst RFID, voice recognizer and temperaturesensor. As a result, each method have its own advantages and disadvantages. Index Terms - smart house, human tracking, voice recognition RFID, Sensor.

Security Door System Using Human Tracking Method with Laser Range Finders

2007 ◽  
Author(s):  
Jae Hoon Lee ◽  
Yong-Shik Kim ◽  
Bong Keun Kim ◽  
Kohtaro Ohba ◽  
Hirohiko Kawata ◽  
...  
Keyword(s):  
Human Tracking ◽  
Tracking Method ◽  
Laser Range ◽  
Laser Range Finders

scholarly journals PSO-Particle Filter-Based Biometric Measurement for Human Tracking

2012 ◽  
Vol 16 (4) ◽  
pp. 533-539
Author(s):  
Zhenyuan Xu ◽  
◽  
Junzo Watada
Keyword(s):  
Mathematical Model ◽  
Particle Filter ◽  
Great Accuracy ◽  
Detection Methods ◽  
Human Tracking ◽  
Surveillance Systems ◽  
Height Measurement ◽  
Swarm Optimization ◽  
Tracking Method ◽  
Biometric Features

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.

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