A Novel Track Initiation Method Based on Prior Motion Information and Hough Transform

Abstract : This paper deals with the problem of track initiation in dense clutters. A novel Hough transform method based on prior motion information is proposed. Firstly, with time sequence of the measurements and targets’ kinematic information considered, the single scan data accumulation effect is avoided, and the initiated tracks are more reliable. Then, measurements in observation space only vote to part of the lines that pass through them, which can effectively reduce the computational cost, and improve the initiation speed. Simulation results indicate that the proposed method is superior to the traditional algorithms in terms of detection probability, computational cost and robustness.
Type de document :
Communication dans un congrès
9th International Conference on Intelligent Information Processing (IIP), Nov 2016, Melbourne, VIC, Australia. IFIP Advances in Information and Communication Technology, AICT-486, pp.72-77, 2016, Intelligent Information Processing VIII. 〈10.1007/978-3-319-48390-0_8〉
Liste complète des métadonnées

Littérature citée [8 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01614982
Contributeur : Hal Ifip <>
Soumis le : mercredi 11 octobre 2017 - 16:57:26
Dernière modification le : mercredi 11 octobre 2017 - 17:00:34
Document(s) archivé(s) le : vendredi 12 janvier 2018 - 15:30:23

Fichier

 Accès restreint
Fichier visible le : 2019-01-01

Connectez-vous pour demander l'accès au fichier

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Jun Liu, Yu Liu, Wei Xiong. A Novel Track Initiation Method Based on Prior Motion Information and Hough Transform. 9th International Conference on Intelligent Information Processing (IIP), Nov 2016, Melbourne, VIC, Australia. IFIP Advances in Information and Communication Technology, AICT-486, pp.72-77, 2016, Intelligent Information Processing VIII. 〈10.1007/978-3-319-48390-0_8〉. 〈hal-01614982〉

Partager

Métriques

Consultations de la notice

33