De Freitas, Allan Mihaylova, Lyudmila Algorithms and models for autonomous crowds tracking with box particle filtering and convolution particle filtering <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> Crowd Tracking;Box Particle Filter;Convolution Particle Filter;Signal Processing 2016-09-02
    https://orda.shef.ac.uk/articles/software/Implementation_of_an_algorithm_for_autonomous_crowds_tracking_with_box_particle_filtering_and_convolution_particle_filtering/3543269
10.15131/shef.data.3543269.v2