Automatic labeling of tracked objects based on an indexing mechanism

Allele, Imane; Benrazek, Ala-Eddine; Kouahla, Zineddine; Farou, Brahim; Séridi, Hamid; Kurulay, Muhammet

doi:10.1109/ictaacs53298.2021.9715189

Cited by 2 publications

(2 citation statements)

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“…Among the indexing techniques in the literature, there are tree-based indexing structures that have gained popularity in recent years [2][3][4][5][6][7]. These structures are dynamic, do not require periodic reorganizations, and ensures continuous indexing.…”

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confidence: 99%

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Introduction of a tree-based technique for efficient and real-time label retrieval in the object tracking system

Benrazek¹,

Kouahla²,

Farou³

et al. 2022

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This paper addresses the issue of the real-time tracking quality of moving objects in large-scale video surveillance systems. During the tracking process, the system assigns an identifier or label to each tracked object to distinguish it from other objects. In such a mission, it is essential to keep this identifier for the same objects, whatever the area, the time of their appearance, or the detecting camera. This is to conserve as much information about the tracking object as possible, decrease the number of ID switching (ID-Sw), and increase the quality of object tracking. To accomplish object labeling, a massive amount of data collected by the cameras must be searched to retrieve the most similar (nearest neighbor) object identifier. Although this task is simple, it becomes very complex in large-scale video surveillance networks, where the data becomes very large. In this case, the label retrieval time increases significantly with this increase, which negatively affects the performance

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“…Our solution aims to organize the metadata of the extracted objects during the detection and tracking phase into an Adaptive BCCF-tree. BCCF-tree is a recent indexing structure that has proven its efficiency in big IoT data [4,7].…”

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confidence: 99%