Bayesian Multiple Target Tracking
Bayesian Multiple Target Tracking
Estimation with Applications to Tracking and Navigation
Estimation with Applications to Tracking and Navigation
A Particle Filter to Track Multiple Objects
WOMOT '01 Proceedings of the IEEE Workshop on Multi-Object Tracking (WOMOT'01)
Brief paper: Random sampling approach to state estimation in switching environments
Automatica (Journal of IFAC)
A study on two measurements-to-tracks data assignment algorithms
Information Sciences: an International Journal
Analysis and approximation of performance bound for two-observer bearings-only tracking
Information Sciences: an International Journal
Simultaneous eye tracking and blink detection with interactive particle filters
EURASIP Journal on Advances in Signal Processing
Model based vehicle detection and tracking for autonomous urban driving
Autonomous Robots
Variance reduction techniques in particle-based visual contour tracking
Pattern Recognition
Learning scene context for multiple object tracking
IEEE Transactions on Image Processing
IEEE Transactions on Audio, Speech, and Language Processing
Ant estimator with application to target tracking
Signal Processing
Counting Objects with a Combination of Horizontal and Overhead Sensors
International Journal of Robotics Research
Multiple and variable target visual tracking for video-surveillance applications
Pattern Recognition Letters
Collaborative sensor networks with Bayesian multitarget tracking and sensor localization
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
EURASIP Journal on Advances in Signal Processing
A real-time moving ant estimator for bearings-only tracking
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Robust real-time multiple target tracking
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Investigation on tracking system for real time video surveillance applications
Proceedings of the CUBE International Information Technology Conference
Radar-based road-traffic monitoring in urban environments
Digital Signal Processing
Online blind speech separation using multiple acoustic speaker tracking and time-frequency masking
Computer Speech and Language
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In this article we propose a new Rao-Blackwellized particle filtering based algorithm for tracking an unknown number of targets. The algorithm is based on formulating probabilistic stochastic process models for target states, data associations, and birth and death processes. The tracking of these stochastic processes is implemented using sequential Monte Carlo sampling or particle filtering, and the efficiency of the Monte Carlo sampling is improved by using Rao-Blackwellization.