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http://dx.doi.org/10.5909/JBE.2020.25.2.192

Towards Real-time Multi-object Tracking in CPU Environment  

Kim, Kyung Hun (Dept. of Electronic Engineering, Sogang University)
Heo, Jun Ho (Dept. of Electronic Engineering, Sogang University)
Kang, Suk-Ju (Dept. of Electronic Engineering, Sogang University)
Publication Information
Journal of Broadcast Engineering / v.25, no.2, 2020 , pp. 192-199 More about this Journal
Abstract
Recently, the utilization of the object tracking algorithm based on the deep learning model is increasing. A system for tracking multiple objects in an image is typically composed of a chain form of an object detection algorithm and an object tracking algorithm. However, chain-type systems composed of several modules require a high performance computing environment and have limitations in their application to actual applications. In this paper, we propose a method that enables real-time operation in low-performance computing environment by adjusting the computational process of object detection module in the object detection-tracking chain type system.
Keywords
multi object tracking; data association; real time object tracking;
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