1 Ocak 2022 Dergi makalesi Açık Erişim

Sonmez, Hasan Huseyin; Hocaoglu, Ali Koksal

Citation Style Language JSON

{
  "DOI": "10.1007/s11760-021-02019-9", 
  "abstract": "In multi-sensor multi-target tracking systems, the different sensors provide their detections at different times due to having different sampling periods or communication delays. Therefore, for track-to-track association algorithms, it is not realistic to assume that sensors are synchronous. In this paper, we propose an asynchronous track-to-track association algorithm based on reference topology feature. For synchronization of sensor tracks, a one-step, memoryless track propagation scheme is used. The proposed method handles both the asynchronous and synchronous sensors. An improved performance is achieved by using the generalized sub-patterns assignment metric to calculate the association costs between two reference topologies. The proposed algorithm also provides an improved performance for the synchronized sensors case.", 
  "author": [
    {
      "family": "Sonmez", 
      "given": " Hasan Huseyin"
    }, 
    {
      "family": "Hocaoglu", 
      "given": " Ali Koksal"
    }
  ], 
  "container_title": "SIGNAL IMAGE AND VIDEO PROCESSING", 
  "id": "236868", 
  "issue": "3", 
  "issued": {
    "date-parts": [
      [
        2022, 
        1, 
        1
      ]
    ]
  }, 
  "page": "789-796", 
  "title": "Asynchronous track-to-track association algorithm based on reference topology feature", 
  "type": "article-journal", 
  "volume": "16"
}