A low-complexity multi-target tracking algorithm in urban environments using sparse modeling

2012 ◽  
Vol 92 (9) ◽  
pp. 2199-2213 ◽  
Author(s):  
Phani Chavali ◽  
Arye Nehorai
Keyword(s):  
Target Tracking ◽  
Low Complexity ◽  
Urban Environments ◽  
Tracking Algorithm ◽  
Sparse Modeling ◽  
Multi Target Tracking

Research on 3D multi-target tracking algorithm

2021 ◽  
Author(s):  
Tingting Kou ◽  
Hua Cai ◽  
Guangwen Liu ◽  
Yingchao Li
Keyword(s):  
Target Tracking ◽  
Tracking Algorithm ◽  
Multi Target Tracking

Linear Multi-Target Integrated Probabilistic Data Association Filter With Automatic Track Management for Autonomous Vehicles

2018 ◽  
Author(s):  
Andinet Hunde ◽  
Beshah Ayalew
Keyword(s):  
Target Tracking ◽  
Tracking System ◽  
Data Association ◽  
Tracking Algorithm ◽  
Probabilistic Data ◽  
Probabilistic Data Association ◽  
Address Data ◽  
Multi Target Tracking ◽  
Track Management ◽  
Track Initiation

Target tracking in public traffic calls for a tracking system with automated track initiation and termination facilities in a randomly evolving driving environment. In addition, the key problem of data association needs to be handled effectively considering the limitations in the computational resources onboard an autonomous car. In this paper, we discuss a multi-target tracking system that addresses target birth/initiation and death/termination processes with automatic track management feature. The tracking system is based on Linear Multi-target Integrated Probabilistic Data Association Filter (LMIPDAF), which is adapted to specifically include algorithms that handle track initiation and termination, clutter density estimation and track management. The performance of the proposed tracking algorithm is compared to other single and multi-target tracking schemes and is shown to have acceptable tracking error. It is further illustrated through multiple traffic simulations that the computational requirement of the tracking algorithm is less than that of optimal multi-target tracking algorithms that explicitly address data association uncertainties.

Bi-Station Multi-Target Tracking Using Range and Doppler Measurements

2013 ◽  
Vol 329 ◽  
pp. 338-343
Author(s):  
Tian Jiao Fu ◽  
Li Guo Zhang ◽  
Jian Yue Ren
Keyword(s):  
Target Tracking ◽  
High Frequency ◽  
Radar System ◽  
Tracking Algorithm ◽  
Range Finding ◽  
Wave Radar ◽  
Multi Target Tracking ◽  
Actual Environment ◽  
Simulation Results ◽  
Ground Wave

The azimuthal measurements of the high frequency ground wave radar are poor in an actual environment, which can cause the plots highly decentralized and damage the formation of the over-the-horizon tracks. To solve the problem, a new radar system is proposed to triangulate target tracks using range and Doppler measurements only. On the basis of the analysis of the characteristics of the range-finding location, a multi-target tracking algorithm under non-clutter condition is given in this paper, which further improves the tracking algorithm of this system. Simulation results show the effectiveness of this method.

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