Title
Human Tracking with Pyroelectric Sensors Based on Clutter Environment Modeling
Abstract
With the segmentation and coding of the field of views (FOVs) by using Fresnel lens arrays, we can realize the human body target positioning tracking. The observation noise will be uneven distributed when using the angular measurement error model, furthermore, the model can't work in the event of missing inspection. Based on these two defects, in this paper we design a clutter environment tracking model by changing angle measurement into clutter coordinates to make the observation noise homogenization. We calculate all the associated probability of the clutter and use the probability as weight values to update the target state in the location phase. The simulation results show that the error of our model is smaller than angular measurement error model, and our model can also be used in the high missing rate of inspection.
Year
DOI
Venue
2013
10.1007/978-3-642-54522-1_2
ADVANCES IN WIRELESS SENSOR NETWORKS, CWSN 2013
Keywords
Field
DocType
human tracking,pyroelectric sensor,clutter
Errors-in-variables models,Computer vision,Pyroelectricity,Clutter,Homogenization (chemistry),Segmentation,Computer science,Remote sensing,Coding (social sciences),Artificial intelligence,Fresnel lens
Conference
Volume
ISSN
Citations 
418
1865-0929
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Jingyuan Zhang165360.53
Fangmin Li27212.88
xiong ji300.34