Algorithms and models for autonomous crowds tracking with box particle filtering and convolution particle filtering

2016-09-02T13:26:28Z (GMT) by Allan De Freitas Lyudmila Mihaylova
<div><div>Models and algorithms for autonomous crowds tracking are developed. The algorithms are: a Convolutional particle filter, a Box particle filter and a sampling importance resampling (SIR) particle filter. The programs are modular and self-contained. </div><div><br></div><div>Code linked to the paper: "Autonomous Crowds Tracking with Box Particle Filtering and Convolution Particle Filtering", Automatica, vol. 69, pp. 380-394, July 2016.</div></div><div><br></div><div>The Convolutional particle filter and the SIR particle filter are implemented and compared with the Box particle filter in a modular way. The Box particle filter requires a library called Intlab for operation.</div><div><br></div><div><div>This library can be purchased and downloaded from: http://www.ti3.tu-harburg.de/rump/intlab/</div></div>